QuestionGiven the R Studio Script, and the information solve the following in R .DATA FILE: covid <- read.csv(“Week07Data.csv”)The data frame that you create will have 3 variables:date – This is the recorded date for each recordtmax – This is the high for the day in Louisiana.new.cases – This is the amount of new cases of COVID19 that were found the designated dayQ1Create a linear model and run the summary to determine the line of best fit for the data. What is the intercept and slope? Round your answers to the nearest 3 decimal places.intercept =slope =Q2If the Null hypothesis is that the slope is zero, then can we safely reject the null hypothesis, but the given p-value?A.YesB. NoQ3According to the slope you found, how is the new cases when temperature increases? Choose one.A. New cases increasesB. New cases decreasesQ4How much of the variability in the amount of new cases can be explained by temperature?Answer: ____________Q5Use R to determine a 75% interval of the average amount of new cases given the temperature is 70. Include the fit. Round all your answers 3 decimal places.fit =lower bounds =upper bounds =Q6Use R to determine a 75% interval of the potential range of new cases given the temperature is 70. Include the fit. Round all your answers 3 decimal places.fit =lower bounds =upper bounds =Q7What is the mean of the residuals? Round your answer 3 decimal placesQ8Run a Shapiro-Wilk test on the residuals. Based on the p value and significance level of 0.05, what is safest to say?Group of answer choicesThe residuals are normally distributed.The residuals are not normally distributed.Q9Based on everything calculated, do you think a linear model can be used to represent the relationship between new cases in Louisiana and the high temperature that day? Make sure reference at least one calculation to justify your position.MathStatistics and Probability STAT 200
