PLEASE USE R- MARKDOWN .. (NOT EXCEL)

PLEASE UPLOAD R-MARKDOWN CODE..

\fThe electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x1), the number of days in the month (x2), the average product purity (x3), and the tons of product produced (x4). The past year's historical data are available in the file "electric.csy". a. Fit a multiple linear regression model to these data. Show the estimated regression coefficients (including the intercept). b. The electric power is measured in Megawatts per hour (MWh). Interpret the esti- mated coefficients of x2 and x4. c. Estimate o2. d. Compute the standard errors of the regression coefficients. Are all of the model parameters estimated with the same precision? Why or why not? e. Predict power consumption for a month in which x1 = 75 F, x2 = 24 days, x3 = 90%, and x4 = 98 tons. f. Construct a t-test on each regression coefficient. What conclusions can you draw about the variables in this model? Use a = 0.05. g. Find 95% confidence intervals on the regression coefficients