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End of Module 2 Assessment Review (COMPLETED) 1

End of Module 2 Assessment Review (COMPLETED)mrscretaro.weebly.com/uploads/9/4/0/1/9401722/end_of...End of Module 2 Assessment Review (COMPLETED) 3 Most of the students in the sample

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Page 1: End of Module 2 Assessment Review (COMPLETED)mrscretaro.weebly.com/uploads/9/4/0/1/9401722/end_of...End of Module 2 Assessment Review (COMPLETED) 3 Most of the students in the sample

End of Module 2 Assessment Review (COMPLETED)

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Page 2: End of Module 2 Assessment Review (COMPLETED)mrscretaro.weebly.com/uploads/9/4/0/1/9401722/end_of...End of Module 2 Assessment Review (COMPLETED) 3 Most of the students in the sample

End of Module 2 Assessment Review (COMPLETED)

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The first question would result in numerical data; the second question would result in categorical data.

c =15 students; e =8 students; j =4 students; q = 9 students

(c), (e), and (j) are joint frequencies

(q) is a marginal frequency

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Most of the students in the sample plan to attend college after graduation (60% of the sample). This is a clear majority.

*Yes; A larger number of juniors plan on attending college while there were fewer juniors in the sample.

*Another difference is the selection of other options. A very small percentage of these students were juniors.

Approximately 35% of students in the entire sample were juniors who chose "plan to attend college".

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They are noticeably different for juniors and seniors.

Approximately 45.5% of seniors chose "plan to attend college".

Yes; the differences in conditional relative frequencies suggest that there is an association.

(We were able to make a prediction based on the data, therefore there is association.)

Relationship

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*You would expect the number of clear days to increase. The relationship between elevation above sea level and mean number of clear days appears to be linear.

*The scatterplot indicates that as elevation increases, the average number of clear days per year also generally increases.

*Not necessarily. The scatterplot indicates that there is no relationship between price and quality rating (since the data points are scattered).

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*The relationship between age and finish time is best described by a quadratic model. As age increases, finish times decrease until they reach a minimum (between 30 and 40 years old), and then begin to increase.

*The relationship between frying time and moisture content is exponential. As the frying time increases, the moisture content decreases. The amount of decrease is slowing as the frying time increases, therefore indicating an exponential decrease.

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*Line 2, because it appears to have smaller residuals overall.

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The slope is 0.248, indicating that the predicted foal weight increases by 0.248 kg for each 1 kg increase in the mare's weight.

(0, ­19.6)

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Page 10: End of Module 2 Assessment Review (COMPLETED)mrscretaro.weebly.com/uploads/9/4/0/1/9401722/end_of...End of Module 2 Assessment Review (COMPLETED) 3 Most of the students in the sample

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*Scattered residual plot shows a linear relationship for the data set.

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Page 12: End of Module 2 Assessment Review (COMPLETED)mrscretaro.weebly.com/uploads/9/4/0/1/9401722/end_of...End of Module 2 Assessment Review (COMPLETED) 3 Most of the students in the sample

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*A random scatter of points in the residual plot tells us that a linear function is an appropriate model for the relationship between the two variables in the original data set.

*Since the relationship between the two variables is linear, the residual plot would have a random pattern.

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*A clear curve in the residual plot shows that the variables in the original data set have a non­linear (curved) relationship.

*A random scatter of points in the residual plot shows that a straight line is an appropriate model for the relationship between the two variables in the original data set.

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*There is not a strong pattern of a linear relationship here; however, there is a general weak pattern that suggests that as the number of defects increase, the satisfaction rating tends to decrease.

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