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 These are null hypothesis means these hypo reject ur claim. And therefore if they

are accepted , which is in ur case, it means that training satisfaction doesn’t result

in job satisfaction , however training satisfaction ki wajah se loog job per rehte hain

becoz now they feel that is job mai hum expert hain

ore than !.!" per ur hypo is rejected but since we have mentioned null hypo

#which is opposite to your hypo$ null is accepted so agar sir pochain so u can tell

him that null is accepted and hypo is reject as both values are above !.!".

%elationship is seen with the beta value which is highlighted. As it is

positive it means that positive relation exist between training and job satisfaction

but since sig & !.!" it doesn’t matter

%elationship is seen with the beta value which is highlighted. As it is positive it

means that negative relation exists between training and job turnover but since sig

& !.!" therefore again it doesn’t matter

Additional info

Your data is non-parametric data as your data is in ordinal scale. It doesn’t have any unit such as kilogram, foots, dollars, etc.

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H1: here is no effect of training satisfaction on !o" satisfaction

H#: here is no effect of training satisfaction on !o" turnover intention

 These are null hypothesis means these hypo reject ur claim. And therefore if they

are accepted , which is in ur case, it means that training satisfaction doesn’t result

in job satisfaction , however training satisfaction ki wajah se loog job per rehte hainbecoz now they feel that is job mai hum expert hain

ore than !.!" per ur hypo is rejected but since we have mentioned null hypo

#which is opposite to your hypo$ null is accepted so agar sir pochain so u can tell

him that null is accepted and hypo is reject as both values are above !.!".

$oefficients%a&

 'nstandardi(ed$oefficients

)tandardi(ed$oefficients

*odel +

)td.

rror +eta t )ig.

1 %$onstant& .#1 /.100 1.#1 /

  raning2)atisfaction /./1 /./31 /.114 1.511 /.1/

%elationship is seen with the beta value which is highlighted. As it is

positive it means that positive relation exist between training and job satisfaction

but since sig & !.!" it doesn’t matter

%elationship is seen with the beta value which is highlighted. As it is positive it

means that negative relation exists between training and job turnover but since sig

& !.!" therefore again it doesn’t matter

Additional info

Your data is non-parametric data as your data is in ordinal scale. It doesn’t have any unit such as kilo

gram, foots, dollars, etc.