QUESTION 1 Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature (x) and pavement deflection (y). Summary quantities were 20 20 20 \sum_{i=1}^{20} x_i = 1463.7, \sum_{i=1}^{20} y_i = 12.741, \sum_{i=1}^{20} x_i^2 = 107244.97, \sum_{i=1}^{20} y_i^2 = 8.119 and \sum_{i=1}^{20} xy = -932.863 $S_{xy} = 0.412915$ $S_{xx} = 124.0855$ $S_{yy} = 0.002346$ h. Estimate the standard errors of the slope. i. Estimate the standard errors of the intercept. j. Find a 99% confidence interval on each of the following: 1. Slope, to 2. Intercept, to 3. Mean deflection when temperature x = 85°, to k. Find a 99% prediction interval on pavement deflection when the temperature is 90°F. to
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To estimate the standard error of the slope, we can use the formula: SE_slope = sqrt(Sxy / (n-2)) where Sxy is the sum of the cross-products of x and y, and n is the number of data points. ii. To estimate the standard error of the intercept, we can use the Show more…
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