MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- A study of IT companies has found the following data on the age of each company and its annual volume of sales: Age (years) Sales (000) 2 22 2.5 34 3 33 4 37 4.5 40 4.5 45 5 49 3 30 6 58 6.5 58 (a) Determine the least squares regression that relates the age of company variable to the sales variable in the form y = a + bx. (b) Provide a practical interpretation of the coefficients a and b. (c) Determine the ‘goodness of fit’ (R2) of the estimated regression line. d) Using the estimated regression line determined in (a), calculate what volume of sales would be predicted for a company that is 3.5 years of age. (e) If it was found that…arrow_forwardpart c pleasearrow_forwardcompute the least-squares regression line for predicting diatolic pressure (y)from systolic pressure(x) find the P-value Interpret the P-value state a conclusionarrow_forward
- The null hypothesis being tested in the least-squares regression output for B is B1 = B1,0=1. True Falsearrow_forwardFind the least squares regression line for the points. (0, 4), (3, 2), (8, −3) y(x) = Use the regression capabilities of a graphing utility to verify your results. Use the graphing utility to plot the points and graph the regression line. (Select Update Graph to see your response plotted on the screen. Select the Submit button to grade your response.) Update Graph Student Response Graph 10 у H 1 2 3 4 5 6 7 5 Student Response Graph Description -5 8 9 Xarrow_forwardFind the least squares regression line for the data points. (Let x be the independent variable and y be the dependent varia (-1, 1), (1, -1), (3,-2) 2 Xarrow_forward
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