Question: 5. Construct a linear simple regression model Y=A+b*X to predict engagement using impressions (Y= Engagement and X= Number of Impressions) using the 500-reco following: (a)

5. Construct a linear simple regression model "Y=A+b*X" to predict engagement using impressions (Y=" Engagement" and X=" Number of Impressions") using the 500-reco following: (a) F Test; (b) Intercept, its t-test, p-value, and intercept's confidence inte its t-test, p-value, and coefficient's confidence intervals. Note: Model Regression Output is given below SUMMARY OUTPUT Regression Statistics Multiple R 0.368553 R Square 0.135832 Adjusted R 0.134096 Standard E 916.5969 Observatic 500 ANOVA df MS Feignificance F Regression 1 65764028 65764028 78.27655 1.568-17 Residual 498 4.18E+08 840149.8 Total 499 4.848+08 Coefficientsandard Em t Stat P-value Lower 95%% Upper 95% ower S Intercept 780.4981 43.93339 17.76549 4.728-55 694.1804 866.8157 694.1 X Variable 0.004727 0.000534 8.847404 1.56E-17 0.003677 0.005776 0.003

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