1)Suppose we want to fit a simple linear regression model. We know the sample mean of y is 25 and the sample mean of x is 5. We know the covariance is 100, and the variance of x is 4. The standard error of the slope is 5, and the sample size is 42. Use Table A5 to find the positive critical value associated with the appropriate hypothesis test. Enter your exact value from the table.

2) Suppose we want to fit a simple linear regression model. We know the sample mean of y is 25 and the sample mean of x is 5. We know the covariance is 100, and the variance of x is 4. The standard error of the slope is 5, and the sample size is 42. Use Table A5 to find the positive critical value associated with the appropriate hypothesis test. Enter your exact value from the table.

to. 100 to.05 a.ars to.005 to.001 40.0005 3.078 5.314 12.706 31.821 63.657 318.309 636.619 1.886 2.920 4.303 6.965 9.925 22.327 31.599 1.638 2.353 3.182 4541 5.841 10.215 12.924 1.533 2.132 2.776 3.747 4.604 7.173 8.610 1.476 2.015 2.571 3.365 4.032 5.89E 6.869 1.440 1.913 2.447 3.143 3.707 5.208 5.959 1.415 1.895 2.365 2.998 3.A99 4.785 5.408 1.397 1.860 2.306 2.896 3.355 4.501 5.041 1.383 1.833 2.262 2.821 3.250 4.297 4.781 1.372 1.812 2.228 2.764 3.169 4. 144 4.587 1.363 1.796 2.201 2.718 3.106 4.025 4.437 1.356 1.782 2.179 2.681 3.055 3.930 4.318 1.350 1.77 2.160 2.650 3.012 3.852 4,221 1.345 1.761 2.145 2.624 2.977 3.787 4.140 1.341 1.753 2.131 2.602 2.947 3.733 4.073 1.337 1.746 2.120 2.583 2.921 3.686 4.015 1.333 1.740 2.1 10 2.567 2.898 3.646 3.965 1.330 1.734 2.101 2.552 2.878 3.610 3.922 1.328 1.729 2.093 2.539 2.861 3.579 3.8 83 1.325 1.725 2.086 2.528 2.845 3.552 3.850 1.323 1.721 2.080 2.518 2.831 3.527 3.819 1.321 1.717 2.074 2.508 2.819 3.505 3.792 1.319 1.714 2.069 2.500 2.807 3.485 3.768 1.318 1.711 2.064 2492 2.797 3.467 3.745 1.316 1.708 2.060 2485 2.787 3.450 3.725 1.315 1.706 2.056 2479 2.779 3.435 3.707 1.314 1.703 2.052 2473 2.771 3.421 3.690 1.313 1.701 2.048 2467 2.763 3.408 3.674 1.311 1.699 2.045 2462 2.756 3.396 3.659 1.310 1.697 2.042 2457 2.750 3.385 3.646 1.309 1.696 2.040 2.453 2744 3.375 3.633 1.30 1.694 2.037 2449 2.738 3.365 3.622 1.308 1.692 2.035 2.445 2.733 3.356 3.611 1.307 1.691 2.032 2.441 2.728 3.348 3.601 1.306 1.690 2.030 2.438 2.724 3.340 3.591 1.306 1.688 2.028 2434 2.719 3.333 3.582 1.305 1.687 2.026 2431 2.715 3.326 3.574 1.304 1.686 2.024 2.429 2.712 3.319 3.566 1.304 1.685 2.023 2.426 2.708 3.313 3.558 1.303 1.684 2.021 2.423 2.704 3.307 3.551 1.303 1.683 2.020 2421 2.701 3.301 3.544 1.302 1.682 2.018 2418 2.698 3.296 3.538 1.302 1.681 2.017 2416 2.695 3.291 3.532 1.301 1.680 2.015 2414 2.692 3.286 3.526 1.301 1.679 2.014 2412 2.690 3.281 3.520 2013