11:35AAwww-awn.aleks.comO REGRESSION AND CORRELATIONPredictions from the least-squares regression lineTry again.Shasia vTry AgainYour answer is incorrect.• Your answer to number 3 is incorrect.The managers of an electric utility wish to examine the relationshipbetween temperature and electricity use in the utility's service regionduring the summer months. In particular, the managers wish to be ableto predict total electricity use for a day from the maximum temperaturethat day. The bivariate data below give the maximum temperature (indegrees Fahrenheit) and the electricity use (in thousands of kilowatthours) of electricity generated and sold for a random sample of sixteensummer days. A best-fitting line for the data, obtained from least-squares regression, is given by -53.28 + 3.07x, in which x denotes themaximum temperature and y denotes the electricity use. This line isshown in the Figure 1 scatter plot.Temperature, x Electricity use, y(in degreesFahrenheit)(in thousands ofkilowatt hours)78.4295.472.5232.140072.7276.894.5363.4375-94.8335.635081.6322.032583.2262.930076.1292.889.5314.327592.4351.225084.9354.422571.1300.088.3320.998.6381.1Figure 180.8302.697.5306.2(Send data to ExcelBased on this information, answer the following:1. Fill in the blank: For these data, values for electricity use that aregreater than the mean of the values for electricity use tend to bepaired with temperature values that are the mean of thetemperature values.greater than2. According to the regression equation, for an increase of one degreeFahrenheit in temperature, there is a corresponding increase of howmany thousands of kilowatt hours in electricity use?3.073. From the regression equation, what is the predicted electricity use(in thousands of kilowatt hours) when the temperature is 89.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)349.5354. From the regression equation, what is the predicted electricity use(in thousands of kilowatt hours) when the temperature is 96.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)349.5ExplanationRecheckACOsiblity回国回回 3. From the regression equation, what is the predicted electricity use(in thousands of kilowatt hours) when the temperature is 89.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)

The managers of an electric utility wish to examine the relationship between temperature and…

3. From the regression equation, what is the predicted electricity u (in thousands of kilowatt hours) when the temperature is 89.5 degrees Fahrenheit? (Round your answer to at least one decimal place.)

3. From the regression equation, what is the predicted electricity u (in thousands of kilowatt hours) when the temperature is 89.5 degrees Fahrenheit? (Round your answer to at least one decimal place.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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