Use R code to create multiple linear regression models that answer the following questions 1 Once we control for the number of games played, what is the relationship between Two Point Shooting Percentage and number of wins 2 Once we control for the number of games played and the Two Point Shooting Percentage, what are the differences in average numbers of wins when comparing the conferences For this model, treat YEAR as a categorical variable, i e as factor(YEAR) 3 Once we control for individual variability between schools, are there differences in Two Point Shooting Percentage when comparing the years in the data set 4 Once we control for individual variability between schools, are there differences in Two Point Shooting Percentage when comparing the conferences Please just include the R code used to create each of these models I can't upload the excel file for you to get the results so all I need is the code and I can do the rest, thank you Here are the variables TEAM The Division I college basketball school CONF The Athletic Conference in which the school participates in G Number of games played W Number of games won ADJOE Adjusted Offensive Efficiency (An estimate of the offensive efficiency (points scored per 100 possessions) a team would have against the average Division I defense ADJDE Adjusted Defensive Efficiency (An estimate of the defensive efficiency (points allowed per 100 possessions) a team would have against the average Division I offense) BARTHAG Power Rating (Chance of beating an average Division I team) EFG O Effective Field Goal Percentage Shot EFG D Effective Field Goal Percentage Allowed TOR Turnover Percentage Allowed (Turnover Rate) TORD Turnover Percentage Committed (Steal Rate) ORB Offensive Rebound Percentage DRB Defensive Rebound Percentage FTR Free Throw Rate (How often the given team shoots Free Throws) FTRD Free Throw Rate Allowed TWO P O Two Point Shooting Percentage Note the O in the name of the variable is the capital letter O, not the number zero TWO P D Two Point Shooting Percentage Allowed THREE P O Three Point Shooting Percentage Note the O in the name of the variable is the capital letter O, not the number zero THREE P D Three Point Shooting Percentage Allowed ADJ T Adjusted Tempo (An estimate of the tempo (possessions per 40 minutes) a team would have against the team that wants to play at an average Division I tempo) WAB Wins Above Bubble (The bubble refers to the cut off between making the NCAA March Madness Tournament and not making it) YEAR Season (2015, 2016, 2017, 2018, or 2019)

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Question: Use R code to create multiple linear regression models that answer the following questions. 1. Once we control for the number of games played, what

Use R code to create multiple linear regression models that answer the following questions.

1. Once we control for the number of games played, what is the relationship between Two-Point Shooting Percentage and number of wins?

2.Once we control for the number of games played and the Two-Point Shooting Percentage, what are the differences in average numbers of wins when comparing the conferences? [For this model, treat YEAR as a categorical variable, i.e. as.factor(YEAR)]

3. Once we control for individual variability between schools, are there differences in Two-Point Shooting Percentage when comparing the years in the data set?

4.Once we control for individual variability between schools, are there differences in Two-Point Shooting Percentage when comparing the conferences?

Please just include the R code used to create each of these models: I can't upload the excel file for you to get the results so all I need is the code and I can do the rest, thank you. Here are the variables:

TEAM: The Division I college basketball school
CONF: The Athletic Conference in which the school participates in
G: Number of games played
W: Number of games won
ADJOE: Adjusted Offensive Efficiency (An estimate of the offensive efficiency (points scored per 100 possessions) a team would have against the average Division I defense
ADJDE: Adjusted Defensive Efficiency (An estimate of the defensive efficiency (points allowed per 100 possessions) a team would have against the average Division I offense)
BARTHAG: Power Rating (Chance of beating an average Division I team)
EFG_O: Effective Field Goal Percentage Shot
EFG_D: Effective Field Goal Percentage Allowed
TOR: Turnover Percentage Allowed (Turnover Rate)
TORD: Turnover Percentage Committed (Steal Rate)
ORB: Offensive Rebound Percentage
DRB: Defensive Rebound Percentage
FTR: Free Throw Rate (How often the given team shoots Free Throws)
FTRD: Free Throw Rate Allowed
TWO_P_O: Two-Point Shooting Percentage. Note the O in the name of the variable is the capital letter O, not the number zero.
TWO_P_D: Two-Point Shooting Percentage Allowed
THREE_P_O: Three-Point Shooting Percentage. Note the O in the name of the variable is the capital letter O, not the number zero.
THREE_P_D: Three-Point Shooting Percentage Allowed
ADJ_T: Adjusted Tempo (An estimate of the tempo (possessions per 40 minutes) a team would have against the team that wants to play at an average Division I tempo)
WAB: Wins Above Bubble (The bubble refers to the cut off between making the NCAA March Madness Tournament and not making it)
YEAR: Season (2015, 2016, 2017, 2018, or 2019)

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