# Question

A soil scientist wants to relate the daily evaporation from the soil to air temperature, relative humidity, and wind speed. The scientist collects data at a number of locations in Texas on the variables maximum, minimum, and average soil temperature (x1, x2, x3); maximum, minimum, and average air temperature (x4, x5, x6); maximum, minimum, and average relative humidity (x7, x8, x9); and total wind (x10). The response is the daily amount of evaporation from the soil (y). The data are given below.

a. Fit the following model to the data and display the fitted model.

b. Produce a 95% confidence interval on the average evaporation for the following values of the explanatory variables:

x1 = 90, x2 = 70, x3 = 150, x4 = 85, x5 = 65

x6 = 180, x7 = 95, x8 = 40, x9 = 375, x10 = 450

a. Fit the following model to the data and display the fitted model.

b. Produce a 95% confidence interval on the average evaporation for the following values of the explanatory variables:

x1 = 90, x2 = 70, x3 = 150, x4 = 85, x5 = 65

x6 = 180, x7 = 95, x8 = 40, x9 = 375, x10 = 450

## Answer to relevant Questions

Refer to Exercise 13.54. a. Is there a strong correlation between any of the pairs of explanatory variables? What problems may result if several of the explanatory variables are highly correlated? b. Evaluate whether the ...The basic process of making paper has not changed in more than 2,000 years. It involves two stages: the breaking up of raw material in water to form a suspension of individual fibers and the formation of felted sheets by ...Refer to Exercise 13.65. a. Consider the following two statements: There is multicollinearity between region of the country and whether a hospital has a medical school. There is an interaction effect between region of the ...Refer to Exercise 13.72. Suppose you average the y- values for each of the unknowns and fit the ys in the linear regression model of Exercise 13.72. a. Do your linear regression lines change for each of the laboratories? b. ...In Chapter 3, a data set was presented that related math and reading scores to % minority and % poverty in 22 third-, fourth-, and fifth- grade classes. a. Fit a model that relates math scores to reading scores, % minority, ...Post your question

0