Answer only 6-9, please In R [datarium package], the marketing dataset contains the impact of theamount of money spent on three advertising medias (youtube, facebook andnewspaper) on sales. We want to build a model for estimating sales (y) based on theadvertising budget invested in youtube (x1), facebook (x2) and newspaper (x3). Usethe output provided to answer the questions below. After some trial and eror, thefollowing model was fit:> model - Im(sales - youtube + facebook + newspaper, data - narketing)> surmary(nodel)Call:Im(formula - sales - youtube + facebook + newspaper, data - morketing)Residuals:Min10 Median30Max-18.5932 -1.86900.2982 1.42723.3951Coefficients:Estimate Std. Error t value Pr(>Itl)9.422 <2e-16 ***<2e-16 ***<2e-16 ***0.86(Intercept) 3.5266678.0457658.374290agnanok-0.0010370.001395 32.809facebook0.1885308.008611 21.893newspaper0.005871 -8.177Signif. codes: 0 **** 0.001 ** 8.01 * 0.05 '.' 0.1 '1Residual standord error: 2.023 on 196 degrees of freedonMultiple R-squared: 0.8972,F-statistic: 570.3 on 3 and 196 DF, p-value: < 2.Ze-16Adjusted R-squared: 0.89561. (pis) Write down the multiple linear regression model from theregression analysis result.2. pic s) This model is able to explain_observed variability inrelationship with the other variables.3. (5 poiuts) Interpret the slope coefficient of facebook in context.4. (5 poiuts) Interpret the intercept coefficient in context.5. (S poinis) Comment on the overall significance of the model, at a 0.05 significant% of theusing its linearlevel6. (10 points) Design and conduct a hypothesis test to check if the variablenewspaper in the context is significant, at a 0.05 significant level. (State your Now we drop variable newspaper (x3) and introduce the interaction effects betweenyoutube (x1) and facebook (x2), to fit a new multiple linear regression model. Theoutput is shown as below:> model2 <- Im(sales - youtube + facebook + youtube:facebook, data = marketing)> summary(model2)Call:Lm(formula = sales - youtube + facebook + youtube:facebook, data = marketing)Residuals:Min10 Median30Маx-7.6039 -0.4833 0.2197 0.7137 1.8295Coefficients:Estimate Std. Error t value Pr(>Itl)<2e-16 ***(Intercept)youtubefacebook8.100e+00 2.974e-0127.233<2e-16 ***0.0014 **<2e-16 ***1.910e-02 1.504e-03 12.6992.886e-02 8.905e-033.241youtube:facebook 9.054e-04 4.368e-05 20.727Signif. codes: 0 ***** 0.001 *** 0.01 *' 0.05 '.' 0.1 '' 1Residual standard error: 1.132 on 196 degrees of freedomMultiple R-squared: 0.9678,F-statistic: 1963 on 3 and 196 DF, p-value: < 2.2e-16Adjusted R-squared: 0.96737.the regression analysis result.Write down the new multiple linear regression model from8.Interpret the slope coefficient of the interaction effects between youtube(x1) and facebook (x2) in context.9. ts Which model would be a better fit? The old one or the new one? Why?

6. The hypothesis is, Null hypothesis: H0:β3=0 Alternative hypothesis: H1:β3≠0 From the output, the…

Answered: Answer only 6-9

Math

Statistics

Answer only 6-9

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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