The following output from R presents the results from computing a linear model.In our data example we are interested to study the relationship between TV budget and sales This R outputis for a simple data set that contains, in thousands of dollars, TV budget for 200 different markets alongwith the Sales, in thousands of units, for each market.summary (model1)#### Call:## Lm (formula = SalesTV, data = train)#### Residuals:##Min10 Median30Max## -8.5816 -1.7845 -0.25332.17156.9345#### Coefficients:##Estimate Std. Error t value Pr(>|t|)## (Intercept) 6.764098## TV0.60759211.13<2e-16 ***k0.0502840.00346314.52<2e-16 ***##---O '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Signif. codes:#2### Residual standard error: 3.204 on 120 degrees of freedom## Multiple R-squared: 0.6373, Adjusted R-squared: 0.6342## F-statistic: 210.8 on 1 and 120 DF, p-value: < 2.2e-16confint (model1)##2.5 %97.5 %## (Intercept) 5.56110868 7.96708701## TV0.04342678 0.05714057a. Find the least squares regression line by choosing appropriate dependent and independent variablesbased on your answer in part a.b. Interpret the meaning of the values of band bị calculated in part b.c. Calculate r and r?, and explain what they mean.d. Compute the standard deviation of errors.e. Construct a 95% confidence interval for slope B1.f. Using alpha=0.05, test whether B, is different from zerog. Test at a 5% significance level whether B, is negative.

Name: The following output from R presents the results from computing a lin
Uploaded: 2024-03-20T07:06:16.000Z
Channel: Bartleby
Description: The following output from R presents the results from computing a linear model.In our data example we are interested to study the relationship between TV budget and sales This R outputis for a simple data set that contains, in thousands of dollars,