Please answer questions 1-2 based on the below log-linear demand function

b₀ = -1.43211908784362(-1.57345176452756) ... ln (the constant)

b₁ = -0.0714961514105369 (-2.24808497439758) ... ln (P_G) own-price of gasoline,

b₂ = 0.796635521254482 (7.84477010749472) ... ln (M) per capita real disposable income

b₃ = -0.634827502397998 (-2.85276085511229) ... ln (P_nc) price index for new cars

b₄ = 0.342582380557506 (3.32027730373548) ... ln (P_uc) price index for used cars

b₅ = -0.0407140042284126 (-0.326307323828024) ... ln (P_pt) price index for public transportation.

R² = 0.95159917665694 Adjusted R² = 0.941515671793802

1. Based on the log-linear regression results, if the own-price of gasoline increases by 10%, what happens to the quantity demanded for gasoline (put in terms of percentage change)? Does it increase or decrease and by what percentage? Show any necessary calculations to support your answer and explain. (Hint: In addition, consider the sign, size and statistical significance of the estimated coefficient on ln (P_G).) (3 points)

2. Based on the log-linear regression results, would you expect a change in income to affect the demand for gasoline much (make a specific numerical reference)? Explain and support your answer. (Hint: Consider the sign, size and statistical significance of the estimated coefficient on ln (M).) (2 points)