Use the data analysis results (see images attached) to answer and discuss the questions below:

Y-Single X1 education X2 Finances X3 Environment X4 Family Support 3.38 Mean 2.46 Mean 2.2 Mean 3.32 Mean 3.66 Mean 0.208414814 Standard Error 0.153861852 Standard Error 0.172473009 Standard Error 0.165640378 Standard Error 0.191428571 Standard Error 2 Median 4 Median 4 Median 4 Median 2 Median 1 Mode 4 Mode 4 Mode 4 Mode Mode Standard Deviationandard Deviatic 1.219568341 Standard Deviation254342 Standard Deviation 1.35360441 Standard Deviatio 1.473715283 Sample Variance 1.183673469 Sample Variance 1.487346939 Sample Variance 1.371836735 Sample Variance 1.832244898 Sample Variance 2.171836735 Kurtosis -0.522981127 Kurtosis -0.723269463 Kurtosis -0.255587167 Kurtosis -0.935237184 Kurtosis -1.27014521 Skewness 0.574465644 Skewness -0.440695956 Skewness -0.720675253 Skewness -0.532229141 Skewness 0.499959255 4 Range 4 Range 4 Range 4 Range 4 Range 1 Minimum 1 Minimum 1 Minimum Minimum 1 Minimum 5 5 Maximum 5 Maximum 5 Maximum 5 Maximum Maximum 169 Sum 123 Sum 110 Sum 166 Sum 183 Sum 50 Count 50 Count 50 Count 50 Count 50 CountSUMMARY OUTPUT Regression Statistics Multiple R 0.53525541 R Square 0.28649835 Adjusted R Sq1 0.27163374 Standard Errol 0.92851916 Observations 50 ANOVA df SS MS F Significance F Regression 1 16.6169045 16.6169045 19.2738462 6.2011E-05 Residual 48 41.3830955 0.86214782 Total 49 58 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.61470911 0.3842324 1.59983676 0.11619707 -0.1578419 1.38726012 -0.1578419 1.38726012 X1 education 0.47749726 0.10876438 4.39019887 6.2011E-05 0.25881181 0.6961827 0.25881181 0.6961827 6.20118-05 0.05 this means that X variable doesn't have an impact on Y variableSUMMARY OUTPUT Regression Statistics Multiple R 0.36194717 R Square 0.13100576 Adjusted R Sq1 0.11290171 Standard Errol 1.02471201 Observations 50 ANOVA df SS MS F Significance F Regression 1 7.59833383 7.59833383 7.23626919 0.00979897 Residual 48 50.4016662 1.05003471 Total 49 58 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 3.43052663 0.47984538 7.14923346 4.3436E-09 2.46573283 4.39532042 2.46573283 4.39532042 X2 Finances -0.3362095 0.12498347 -2.6900314 0.00979897 -0.5875056 -0.0849134 -0.5875056 -0.0849134SUMMARY OUTPUT Regression Statistics Multiple R 0.29378665 R Square 0.0863106 Adjusted R Sq1 0.0672754 Standard Errol 1.05073372 Observations 50 ANOVA df SS MS F Significance F Regression 1 5.0060147 5.0060147 4.53426374 0.03837902 Residual 48 52.9939853 1.10404136 Total 49 58 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.40187124 0.40319821 3.4768786 0.0010876 0.5911869 2.21255558 0.5911869 2.21255558 X3 Environme 0.11089268 2.12938107 0.03837902 0.0131681 0.45909744 0.0131681 0.45909744SUMMARY OUTPUT Regression Statistics Multiple R 0.05855072 R Square 0.00342819 Adjusted R Square -0.0173337 Standard Error 1.09735634 Observations 50 ANOVA df SS MS F Significance F Regression 1 0.198834805 0.19883481 0.165119 0.6862927 Residual 48 57.80116519 1.20419094 Total 49 58 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 2.3063334 0.304237471 7.58070131 9.526E-10 1.69462296 2.91804383 1.69462296 2.91804383 X4 Family Support -0.043225 0.106374137 -0.4063484 0.6862927 -0.2571045 0.17065458 -0.2571045 0.17065458t-Test: Two-Sample Assuming Unequal Variances Y-Single X1 education Mean 2.2 3.32 Variance 1.183673469 1.48734694 Observations 50 50 Hypothesized Me 0 df 97 t Stat -4.84578813 P(T