Using RStudio please provide step by step with code

Please use the data set below to answer the questions and refer the data set as movies

The data set may not match the answers to some of the problems, it is the R code to get the answer that I need help with

Data Set:

title original$\_$language release$\_$date popularity vote$\_$count vote$\_$average budget revenue runtime collection year month comedy scifi fantasy action sequel number

Smile en $9/23/20221863\mathrm{.}6281146\mathrm{.}81\mathrm{.}70$E$+074\mathrm{.}50$E$+07115020229000001$

The Black Phone en $6/22/20221071\mathrm{.}39827367\mathrm{.}9188000001\mathrm{.}61$E$+08103020226000001$

Jeepers Creepers: Reborn en $9/15/2022821\mathrm{.}6051255\mathrm{.}82\mathrm{.}00$E$+072892594889489920229000014$

Nope en $7/20/2022733\mathrm{.}112168476\mathrm{.}80$E$+07170800000130020227010001$

X en $3/17/2022543\mathrm{.}6710356\mathrm{.}81\mathrm{.}00$E$+071425760910695028920223000001$

Dahmer en $6/21/2002378\mathrm{.}392205\mathrm{.}2250000144008101020026000001$

Halloween Kills en $10/14/2021315\mathrm{.}02719416\mathrm{.}72\mathrm{.}00$E$+07131647155105913612021100000110$

Scream en $1/12/2022291\mathrm{.}19617326\mathrm{.}72\mathrm{.}40$E$+071\mathrm{.}40$E$+08114260220221000015$

Orphan en $7/24/2009265\mathrm{.}858440372\mathrm{.}00$E$+077791225112376019320097000001$

Jeepers Creepers $3$ en $9/26/2017246\mathrm{.}1896924\mathrm{.}9620000036000001009489920179000013$

$1)$ Which of the following is an assumption of the regression model?

$($check all that apply$)$

A$)$ At least one independent variable is endogenous.

B$)$ Regression errors are independently and identically distributed $($same mean & variance$).$

C$)$ Regression errors are normally distributed around the population mean of the dependent variable.

D$)$ Independent variables are collinear with each other.

$2)$ What does the residual plot tell you about the regression? Do you spot any abnormalities?

$3)$ Estimate Ramsay's RESET test on the regression. Which of the following statements best describes the results of the test.

A$)$ We fail to reject the null hypothesis of linearity at the $0\mathrm{.}05$ level.

B$)$ There is not sufficient evidence to determine whether a linear functional form is correct.

C$)$ The null hypothesis of linearity is rejected at the $0\mathrm{.}05$ level.

D$)$ The null hypothesis of nonlinearity is rejected at the $0\mathrm{.}05$ level.

$4)$ Estimate a log$-$log version of the above regression $($i$.$e$.$ all variables are transformed by the natural logarithm$).$ A $1\%$ increase in the budget is associated with $\_\_\_\_\_\_\_\_\_$ increase in revenue.

$($Hint: You will need to convert vote$\_$average to $"1+$ vote$\_$average" before you can take the natural logarithm.$)$

a$)$ a $92\%$

b$)$ a $$0\mathrm{.}92$

c$)$ an approximately $0\mathrm{.}92\%$

d$)$ a $$92$

$5)$ Ramsey's RESET test on the log$-$log regression model is $[$ Select $][$significant or not significant$]$ at the $0\mathrm{.}05$ or suggesting that $[$ Select $][$higher order terms should be added or no further transformations are necessary$].$ The residual plot for the log$-$log regression is $[$ Select $][$less or more$]$ balanced around $0$ or but the variance indicates $[$ Select $][$heteroskedasticity or homoskedasticity$].$

$6)$ Is multicollinearity an issue with the above regression?

A$)$ Yes, budget and revenue have a correlation of $0\mathrm{.}56.$

B$)$ No since multicollinearity only biases the regression coefficients not the standard errors.

C$)$ No$,$ the absolute value of the cross correlation between all of the independent variables is less than $0\mathrm{.}18.$

D$)$ Yes, the variance inflation factor of 'budget' is more than $10.$

$7)$ The log$-$log regression above $[$ Select $][$does not exhibit or exhibits$]$ heteroskedasticity based on the $[$ Select $][$Cook$\text{'}$s Distance or Shapiro$-$Wilk or Breusch$-$Pagan or Ramsay RESET$]$ test. The null hypothesis was $[$ Select $][$rejected or not rejected$]$ at the $0\mathrm{.}001$ level.

$8)$ What is the standard error on the log of budget when the errors are corrected for heteroskedasticity?

$($round to $3$ decimal places$)$

$9)$ For which regression do we reject the null hypothesis of normally$-$distributed errors at the $0\mathrm{.}05$ significance level?

$($check all that apply$)$

A$)(1$st$)$ standard, linear regression

B$)(2$nd$)$ log$-$log regression

$10)$ Which of the following movies is considered an influential point in the standard, linear regression $($i$.$e$.$ not the log$-$log regression$)?$

$11)$ Estimate the following linear regression.

revenue $={}_0+{}_1$ budget $+{}_{2}vot{e}_a$verage $+{}_3$ year $+lo{n}_i$

Upload a picture of the residual plot.