Consider the following data on x = rainfall volume (m3) and y = runoff volume (m)...
need help with a stats homework question. Consider the following data on x = rainfall volume (m) and y = runoff volume (m) for a particular location. X 5 12 14 16 23 30 40 49 55 67 72 80 96 112 127 y 4 10 13 14 15 25 27 45 38 46 53 69 82 99 105 Use the accompanying Minitab output to decide whether there is a useful linear relationship between rainfall and runoff. The regression equation...
An artide gave a scatter plot along with the least squares line of x -rainfall volume (m3) and y runoff volume (m3) for a particular location. The accompanying values were read from the plot. x14 12 14 17 23 30 40 52 55 67 72 85 96 112 127 y14 10 13 15 15 25 27 45 38 46 53 71 82 99 100 (a) Does a scatter plot of the data support the use of the simple linear regression...
An artide gave a scatter plot along with the least squares line of x -rainfall volume (m3) and y runoff volume (m3) for a particular location. The accompanying values were read from the plot. x14 12 14 17 23 30 40 52 55 67 72 85 96 112 127 y14 10 13 15 15 25 27 45 38 46 53 71 82 99 100 (a) Does a scatter plot of the data support the use of the simple linear regression...
An article gave a scatter plot along with the least squares line of x = rainfall volume (m3) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. x 5 12 14 20 23 30 40 51 55 67 72 85 96 112 127 y 4 10 13 15 15 25 27 45 38 46 53 75 82 99 103 (a) Does a scatter plot of the data support the use of...
The index of exposure to radioactive waste, x, and the cancer mortality rates, y, (deaths per 100,000) were recorded for nine different Oregon counties. Use the regression analysis provided below to perform the hypothesis test to determine if the index of exposure is useful as a predictor of cancer mortality rate. The regression equation is = 114.7156 + 9.231456x R-sq = 85.8% 9- 2 = 7 degrees of freedom Predictor Coef Constant 114.7156 Index of Exp 9.231456 SE(Coef) I 8.045663...
An article gave a scatter plot along with the least squares line of x = rainfall volume (m3) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. х 4 12 14 17 23 30 40 48 55 67 72 81 96 112 127 y 4 10 13 14 15 25 27 44 38 46 53 70 82 99 104 (a) Does a scatter plot of the data support the use of...
Question 1 4.5 pts Given are five observations for two variables, x and y. 3 2 7 h. Compute the mean square error (MSE) O 3.875 4.133 4.421 4.312 i. Compute the standard error of the estimate 2.326 1.895 2.033 2.213 j. Compute the estimated standard deviation (standard error) of bu 0.643 0.697 0.568 O 0.713 k. Test for a significant relationship using the t test. Compute the value of the test statistic and the p-value. At a = 0.05,...
An article gave a scatter plot along with the least squares line of x = rainfall volume (mº) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. x 4 12 14 16 23 30 40 51 55 67 72 80 96 112 127 y 4 10 13 46 53 72 82 99 15 15 25 27 44 38 103 in USE SALT (a) Does a scatter plot of the data support...
An article gave a scatter plot along with the least squares line of x = rainfall volume (m3) and y = runoff volume (m2) for a particular location. The accompanying values were read from the plot. x 6 12 14 16 23 30 40 51 55 67 72 84 96 112 127 y 4 10 13 14 15 25 27 45 38 46 53 75 82 99 102 (a) Does a scatter plot of the data support the use of...
please hurry. timed test Consider the following data on xweight (pounds) and y price ($) for 10 road-racing bikes Weight Price ($) Brand 17.8 2,100 A B 6,150 16.1 C 8,370 14.9 15.9 6,200 E 17.2 4,000 F 13.1 8,700 16.2 6,000 17.1 2.480 H 17.6 3,300 14.1 8,000 These data provided the estimated regression equation-28,974-1,465x. For these data, SSE 6,977,510.40 and SST-53,650.800. Use the F test to determine whether the weight for a bike and the price are related...