Question1 You estimate the following regression coefficients (with their standard errors in parenthesis) using Ordinary Least Squares (OLS) (number of observations: 754). = 8.37922 + 0.243311 (0.16998) (0.03031) ESS = 366.51875 RSS = 4277.01272 State the corresponding statistical hypotheses which underpin the test for the significance of the independent variables and calculate the t-ratios for both. How do you interpret your results? Explain and calculate the R2 and adjusted R2 measure (round to four decimal places). What is the difference between both measures?

DF 1 23456 7 8 9 10 50 100 500 750 A P 0.8 0.9 0.95 0.99 0.995 0.999 0.2 0.1 0.05 0.01 0.005 0.001 3.078 6.314 12.706 63.657 127.321 636.619 1.886 2.92 4.303 9.925 14.089 31.599 1.638 2.353 3.182 5.841 7.453 12.924 1.533 2.132 2.776 4.604 5.598 8.61 1.476 2.015 2.571 4.032 4.773 6.869 1.440 1.943 2.447 3.707 4.317 5.959 1.415 1.895 2.365 3.499 4.029 5.408 1.397 1.860 2.306 3.355 3.833 5.041 1.383 1.833 2.262 3.250 3.690 4.781 1.372 1.812 2.228 3.169 3.581 4.587 1.299 1.676 2.009 2.678 2.937 3.496 1.29 1.66 1.984 2.626 2.871 3.391 1.283 1.648 1.965 2.586 2.820 3.311 1.283 1.647 1.963 2.583 2.816 3.304 1.282 1.645 1.96 2.576 2.807 3.291 DF 1 23456 7 8 9 10 50 100 500 750 A P 0.8 0.9 0.95 0.99 0.995 0.999 0.2 0.1 0.05 0.01 0.005 0.001 3.078 6.314 12.706 63.657 127.321 636.619 1.886 2.92 4.303 9.925 14.089 31.599 1.638 2.353 3.182 5.841 7.453 12.924 1.533 2.132 2.776 4.604 5.598 8.61 1.476 2.015 2.571 4.032 4.773 6.869 1.440 1.943 2.447 3.707 4.317 5.959 1.415 1.895 2.365 3.499 4.029 5.408 1.397 1.860 2.306 3.355 3.833 5.041 1.383 1.833 2.262 3.250 3.690 4.781 1.372 1.812 2.228 3.169 3.581 4.587 1.299 1.676 2.009 2.678 2.937 3.496 1.29 1.66 1.984 2.626 2.871 3.391 1.283 1.648 1.965 2.586 2.820 3.311 1.283 1.647 1.963 2.583 2.816 3.304 1.282 1.645 1.96 2.576 2.807 3.291