According to the statistical data, analyze and explain how data results conclude

Question

According to the statistical data, analyze and explain how data results conclude how does old age and gender predict loneliness? Please explain as specific as possible.

Regression Descriptive Statistics Mean Std ne grow_old female Std. Deviation 983 496 452 2.06 166 166 166 72 Correlations lonely grow old female 030 030 1.000 353 352 Pearson Correlation lonely 1.000 .158 030 .158 1.000 .030 021 grow old female lonely grow old female lonely grow old female Sig. 1-tailed) 021 353 166 166 166 352 166 166 166 166 166 166 Variables Entered/Removeda Variables Entered Variables Removed Model Method female row old Enter a. Dependent Variable: lonely b. All requested variables entered

Explanation / Answer

1- grow_old , 2 -female

In coefficients

b1 = -0.315

b2 = -0.075

loneliness = 2.294 -0.315*grow_old - -0.075*female

hence

when we grow old by 1 unit , loneliness decrease by 0.315 unit

when one is female ,then loneliness is 0.075 less than one who is male

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