Use the given data to find the scatterplot, equation of the regression line, and prediction. x|1.2 1.4 1.6 1.8 2.0 -7) Let a=0.05 y 54 53 55 4 56 Scatterplot from the caleulator: What is the linear regression equation? (Round to 3 decimal places) critical value from table: Is there a strong enough linear correlation to use the regression equation given? Explain why? What is the best predicted y-value when x=1.92

Use the given data to find the scatterplot, equation of the regression line, and prediction. x|1.2 1.4 1.6 1.8 2.0 -7) Let a=0.05 y 54 53 55 4 56 Scatterplot from the caleulator: What is the linear regression equation? (Round to 3 decimal places) critical value from table: Is there a strong enough linear correlation to use the regression equation given? Explain why? What is the best predicted y-value when x=1.92

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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Need help answering A, B and C. 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 (r2) and the coefficient of correlation (r).  SST, SSE and SSR for this linear regression.  Estimate for the variance (σ2) and the standard deviation for the linear regression model you have developed. C) Using the linear regression equation that you developed in topic (b), calculate the estimated sales for a day that will reach 72 degrees F and for a day that will reach 94 F and for both temperature levels calculate the error “e” when comparing the estimated value against the actual data provided. At which of the two temperatures, is your model more accurate? Justify.
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