Xy12778 12163176942497564014 5733Use linear regression to find the equation for the linear function that best fits this data. Roundto two decimal places. Write your answer in the form: y= ax + b

XYX.YX2177877812121624324317695307942497998816540142007025657333439836

Answered: X y 1 2 778 1216 3 4 5 1769 2497 4014 6…

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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A manager believes that sales (S) (in $) is a function of the amount of work (H) and commission paid (C). Given data for both variables, the manager ran a regression analysis with the output shown here. Coefficients t Stat P-value Intercept 100 1.80 0.1008 Work Hours -2.20 0.01 Commission 2.66 0.04 Write down the regression model/ equation between the dependent and independent variables, and find the amount of sales for H=2 and c=5 I X2 x2 三三三 of 1.
Perform Linear Regression Analysis by Octave (or MatLab) software using formulas for calculation of required parameters. Make the graph y versus x values and ytted VS. X on the same plot. x Answers: 0.05 0.04 35.7210 23.3960 7 0.03 13.3970 X S 0.02 6.0310 0.01 1.5190 0 0.0000
A table of data points is given below. a. Find the regression equation for the data points. Use the formulas Sxx=∑ xi−x2 and Sxy=∑ xi−x yi−y to obtain Sxx and Sxy. b. Graph the regression equation and data points. x 1 2 3 y 6 5 10 a. The regression equation is y= + () x. (Simplify your answers. Type integers or decimals. Do not round.)
Make a scatter plot of the data and determine which type of model best fits the data. linear quadratic exponential cubic
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.971 b=21.794 r²-0.872356 r=-0.934 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. X 5 b. Graph the regression equation and the data points. y -1 10 -10 y B. 10 -10- C. a. Find the regression equation for the data points. ŷ-0 (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. O A. 10 T -10- 1 2 -1 3 327 D. -10 4 y 4 28 0
The y intercept in a regression equation is represented by y hat a. True b. Fakse
Can you please help with sub-parts C and D
search Refer to the data set: y X -3 -2 =1 -00 .......... 1 8 1 7 −IN 01 1 2 2 4 Part a: Make a scatter plot and determine which type of model best fits the data. Part b: Find the regression equation. Part c: Use the equation from Part b to determine y when x = 5 For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph V Arial h V © O Click Save and Submit to save and submit. Click Save All Answers to save all answers. 10pt DELL
Linear RegressionUse linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation ˆy=mx+b x 1 2 3 4 5 6 y 89 112 133 151 158 188 ˆy=
Use the regression capabilities of a graphing calculator to find the equation for the line of best fit for the following points. Round decimals off to the nearest hundredth. 1 9 2 8 3 8 4 5 5 6 4 7 2 Note: "y =" is already written - fill in the right side of the equation only y =

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X y 1 2 778 1216 3 4 5 1769 2497 4014 6 5733 Use linear regression to find the equation for the linear function that best fits this data. Round to two decimal places. Write your answer in the form: y = ax + b