Please answer the 4 questions outlined in the following data and provide explanations.

Model 3 is an attempt to model the Number of Weekly Riders that use public transportation for cities in the us. Please answer the questions a)-c) based on Model 3. Summary of Fit 353m 0.944- 381% Adj 0.937 Root Mean Square Error 5356105; Mun of Response 1600261 Qbsstiqr 19! 5'4"}. 27 of Variance II- or III- I". 51- 1.: 137e+ 10 3.7124e+9 Intercept '. 203380.15 Price perweelt _ #1177: 85.89448 Monthly incomeof riders ._ 1161 1.158913 Average parking rates per month 154.02! 73.1519 a) How many independent variables are included in the model? b) Which of the variables in Model 3 are significant at (1:0.05? c) Referring to Model 3, suppose the width of the prediction interval for a particular city is fairly wide and not very accurate. What do you recommend the modelers do to try and improve the model? Be specific with supporting rationale. The following is a separate question. Not related with the above two question. Write the Population Regression Model: Write the model form you would suggest if scatter plots show a quadratic relationship between y and x1, a linear relationship between y and x2, and a quadratic relationship between y and x3