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Null-hypothesis for a Multiple-Linear Regression Conceptual Explanation

Null hypothesis for multiple linear regression

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Page 1: Null hypothesis for multiple linear regression

Null-hypothesis for a Multiple-Linear Regression

Conceptual Explanation

Page 2: Null hypothesis for multiple linear regression

With hypothesis testing we are setting up a null-hypothesis –

Page 3: Null hypothesis for multiple linear regression

With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship –

Page 4: Null hypothesis for multiple linear regression

With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship – and then we collect evidence that leads us to either accept or reject that null hypothesis.

Page 5: Null hypothesis for multiple linear regression

As you may recall, when running a Multiple-Linear Regression you are attempting to determine the predictive power of more than one independent (hours of sleep, study time, gender, family background, etc.) on a dependent variable (test scores).

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Here are two templates for a Multiple Linear Regression Null-Hypotheses:

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Template #1

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There will be no significant prediction of [insert dependent variable] by [insert predictor variable 1] and [insert predictor variable 2], etc.

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Here is an example:

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You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

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Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of [insert dependent variable] by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 12: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of [insert dependent variable] by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 13: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of [insert dependent variable] by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 14: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of [insert dependent variable] by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 15: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 16: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by [insert predictor variable 1], [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 17: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4]. f

Page 18: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, [insert predictor variable 2], [insert predictor variable 3], & [insert predictor variable 4].

Page 19: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, study time, [insert predictor variable 3], & [insert predictor variable 4].

Page 20: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, study time, [insert predictor variable 3], & [insert predictor variable 4].

Page 21: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, study time, gender & [insert predictor variable 4].

Page 22: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, study time, gender & [insert predictor variable 4].

Page 23: Null hypothesis for multiple linear regression

Null-hypothesis #1 for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.

Page 24: Null hypothesis for multiple linear regression

Template #2

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In the presence of the others , there will be no significant prediction of [insert the dependent variable] by [insert the first independent variable].

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Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of [insert the dependent variable] by [insert the first independent variable].

Page 27: Null hypothesis for multiple linear regression

Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of [insert the dependent variable] by [insert the first independent variable].

Page 28: Null hypothesis for multiple linear regression

Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of [insert the dependent variable] by [insert the first independent variable].

Page 29: Null hypothesis for multiple linear regression

Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of [insert the dependent variable] by [insert the first independent variable].

Page 30: Null hypothesis for multiple linear regression

Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of ACT scores by [insert the first independent variable].

Page 31: Null hypothesis for multiple linear regression

Null-hypothesis #2a for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.

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Null-hypothesis #2b for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of ACT scores by study time.

Page 33: Null hypothesis for multiple linear regression

Null-hypothesis #2c for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of ACT scores by gender.

Page 34: Null hypothesis for multiple linear regression

Null-hypothesis #2d for:

You have been asked to investigate how well hours of sleep, study time, gender, mother’s education predicts ACT scores.

In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.

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In summary – here are the null hypotheses for this example:

Page 36: Null hypothesis for multiple linear regression

Ho 1: There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.Ho 2a: In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.Ho 2b: In the presence of the others , there will be no significant prediction of ACT scores by study time.Ho 2c: In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.Ho 2d: In the presence of the others , there will be no significant prediction of ACT scores by gender.

Page 37: Null hypothesis for multiple linear regression

Ho 1: There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.Ho 2a: In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.Ho 2b: In the presence of the others , there will be no significant prediction of ACT scores by study time.Ho 2c: In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.Ho 2d: In the presence of the others , there will be no significant prediction of ACT scores by gender.

Page 38: Null hypothesis for multiple linear regression

Ho 1: There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.Ho 2a: In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.Ho 2b: In the presence of the others , there will be no significant prediction of ACT scores by study time.Ho 2c: In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.Ho 2d: In the presence of the others , there will be no significant prediction of ACT scores by gender.

Page 39: Null hypothesis for multiple linear regression

Ho 1: There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.Ho 2a: In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.Ho 2b: In the presence of the others , there will be no significant prediction of ACT scores by study time.Ho 2c: In the presence of the others , there will be no significant prediction of ACT scores by gender.Ho 2d: In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.y gender.

Page 40: Null hypothesis for multiple linear regression

Ho 1: There will be no significant prediction of ACT scores by hours of sleep, study time, gender & mother’s education.Ho 2a: In the presence of the others , there will be no significant prediction of ACT scores by hours of sleep.Ho 2b: In the presence of the others , there will be no significant prediction of ACT scores by study time.Ho 2c: In the presence of the others , there will be no significant prediction of ACT scores by gender.Ho 2d: In the presence of the others , there will be no significant prediction of ACT scores by mother’s education.