Problem #1-Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature (Degrees F) Sales (Number of air conditioning units sold) 3 68 72 78 7 81 12 84 15 86 16 89 22 91 18 93 19 94 26 a) calculated in topic (b). Consider that: Plot a scatter diagram for the data provided on the table above and the linear regression line Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted. b) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. Calculate: • Coefficient of determination (r') and the coefficient of correlation (r). • ST, SSE and SSR for this linear regression. Estimate for the variance (o) and the standard deviation for the linear regression model you have developed
Problem #1-Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature (Degrees F) Sales (Number of air conditioning units sold) 3 68 72 78 7 81 12 84 15 86 16 89 22 91 18 93 19 94 26 a) calculated in topic (b). Consider that: Plot a scatter diagram for the data provided on the table above and the linear regression line Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted. b) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. Calculate: • Coefficient of determination (r') and the coefficient of correlation (r). • ST, SSE and SSR for this linear regression. Estimate for the variance (o) and the standard deviation for the linear regression model you have developed
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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Given information:
Outside Temperature | Sales |
68 | 3 |
72 | 5 |
78 | 7 |
81 | 12 |
84 | 15 |
86 | 16 |
89 | 22 |
91 | 18 |
93 | 19 |
94 | 26 |
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