Question HelpUse the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.1510 131212.73 12.85 13.77 13.791181410.59 13.41y 7.0113.484.738.9711.88y =+ x (Round to two decimal places as needed.)%3DCreate a scatterplot of the data. Choose the correct graph below.O A.В.Oc.D.Ay25-Ay25-25-20-25-20-20-1520-151510-15-1055310510-535-05 10 15 20 250 5 10 15 20 250-0-05 10 15 20 250 5 10 15 20 25Identify a characteristic of the data that is ignored by the regression line.O A. The data has a pattern that is not a straight line.O B. There is no trend in the data.C. There is an influential point that strongly affects the graph of the regression line.D. There is no characteristic of the data that is ignored by the regression line.Click to select your answer(s).to

Answered: Image /qna-images/answer/13c4e02f-5d90-464d-830e-3fa53dd04720.jpg

Question Help Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 13 12.73 12.85 13.77 13.79 13.48 6 15 10 12 11 7 8 9 14 8.97 10.59 13.41 11.88 y 7.01 4.73 y =+ x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. OB. OC. OD. Ay 25- Ay 25- Ay 25- AY 25- 20 20 20- 15- Q 20- 15- 15 10 15 10- 105 55 10- 55 53 51 0- 05 10 15 20 25 04 05 10 15 20 25 0- 05 10 15 20 25 05 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. The data has a pattern that is not a straight line. O B. There is no trend in the data. O C. There is an influential point that strongly affects the graph of the regression line. D. There is no characteristic of the data that is ignored by the regression line. Click to select your answer(s).

Question Help Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 13 12.73 12.85 13.77 13.79 13.48 6 15 10 12 11 7 8 9 14 8.97 10.59 13.41 11.88 y 7.01 4.73 y =+ x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. OB. OC. OD. Ay 25- Ay 25- Ay 25- AY 25- 20 20 20- 15- Q 20- 15- 15 10 15 10- 105 55 10- 55 53 51 0- 05 10 15 20 25 04 05 10 15 20 25 0- 05 10 15 20 25 05 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. The data has a pattern that is not a straight line. O B. There is no trend in the data. O C. There is an influential point that strongly affects the graph of the regression line. D. There is no characteristic of the data that is ignored by the regression line. Click to select your answer(s).

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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Bookstore sales revisited Recall the data we saw inChapter 6, Exercise 3 for a bookstore. The manager wantsto predict Sales from Number of Sales People Working. Number of SalesPeople Working Sales (in $1000)2 103 117 139 1410 1810 2012 2015 2216 2220 26 Dependent variable is SalesR-squared = 93.2,s = 1.477 Variable CoefficientIntercept 8.1006Num_Workers 0.9134 a) Write the regression equation. Define the variablesused in your equation.b) What does the slope mean in this context?c) What does the y-intercept mean in this context? Is itmeaningful?d) If 18 people are working, what Sales do you predict?e) If sales for the 18 people are actually $25,000, what isthe value of the residual?f) Have we overestimated or underestimated the sales?
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Using data from 50 workers, a researcher estimates Wage Be + B₁Education + B2Experience + B3Age +, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. Coefficients Standard Error t Stat p-Value Intercept 7.45 3.79 1.97 0.0554 Education 1.06 0.37 2.86 0.0063 Experience 0.37 0.18 2.06 0.0455 Age -0.02 0.06 -0.33 0.7404 a-1. Interpret the point estimate for ẞ1. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour, holding Age and Experience constant. a-2. Interpret the point estimate for ẞ2. ○ As Experience…
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please answer for what is the p value
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