Assume the demand of a certain commodity Y (100 pieces), the average income of consumers X1 (100 yuan), and the price of the commodity X2 (yuan). The data of 10 months observed by Eviews software is estimated by least square method, and the results are as follows: (The explained variable is Y)

1. Write the linear regression estimation equation of demand on average consumer income and commodity price.

2. Explain the statistical and economic implications of partial regression coefficients.

3. Estimate the coefficient of determination for adjustment.

4. Test the overall significance of the equation at 95% confidence.

5. Test the significance of partial regression coefficient (slope) at 95% confidence.