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Please help I am stuck. Link: https://istats.shinyapps.io/LinearRegression/ A data set contains Facebook Penetration and Internet penetration of 32 counties in 2012. We will use a
Please help I am stuck. Link: https://istats.shinyapps.io/LinearRegression/
A data set contains Facebook Penetration and Internet penetration of 32 counties in 2012. We will use a regression model where y=percentage of Facebook users, :3: percentage of Internet users and conduct a hypothesis test for Ho : )3 = 0 against Ha : [3 7': 0. (The complete data set is available at https://istats. shinyapps.io/LinearRegression/ - Under Choose data set, click \"Internet 8: Facebook\") a) There are three assumptions : Linearity, Normality, Constant variance. Use plots in the next page to determine whether each assumption is met or not. Specify which plot you are using for each assumption. Check Canvas Study guide/summary table module and look for \"Regression assumptions\" document if you are not sure which plot to use. b) State the null and alternative hypothesis (again). c) Use a = 0.05. Based on the R output below, report the value of test statistic and pvalue. Draw a conclusion and interpret in context of the problem. d) It is known that 95% CI for 5 is b:|:(to'025,df=3o)(SE) = 0.4389:|:(2.04) (0.1030) = (0.228, 0.649). Interpret the result in context. > summ (1m (Facebook . Penetrat ion\" Internet . Penetrat ion) ) arr Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 7.8980 6.5015 1.215 0.233925 Internet.Penetration 0.4389 0.1030 4.261 0.000185 *** Signif. codes: 0 'acaut' 0.001 'aur' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 12.84 on 30 degrees of freedom Multiple R-squared: 0.3771,Adjusted R-squared: 0.3563Step by Step Solution
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