Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of thedata that is ignored by the regression line.Xy12719.19 19.63 18.38 11.87**>=₁x (Round to two decimal places as needed.)ŷ-0 JCreate a scatterplot of the data. Choose the correct graph below.jell)$85CDIQaĽⒸB.L05A. There is no trend in the data.109141389,41 17.25 15.78 19,81 19,67 13.99- H#²ew an example Get more help -****00000010 15Q||||GOC.S15-105-0DIdently a characteristic of the data that is ignored by the regression line.201HUD5ViDODODO25Qo ďZOD.10MoreSHERSCH0000000000D 5 10 15 20 25QQ20TOPYouTube 11mDinomaniaFeeding time went w

The number of observations is n = 11.

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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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1
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
The tables show the amount of revenue (y) in billions for different companies x years after 2005. Match the table with the correct description of its regression model and correlation. Negative Linear Regression 1. a0 1 2 3 4 5 6 78 9 10 Strong Negative Correlation y 12 12 13 14 15 16 18 19 21 22 25 Positive Linear Regression * 0 1 2 3 4 5 6 7 89 10 y 20 18 17 15 13 14 16 18 21 25 28 2. Strong Positive Correlation Quadratic Regression * 0123 4 5 6 7 8 9 10 3. Strong Positive Correlation y 5679 13 15 18 24 25 28 30 Increasing Exponential Regression 4. x0 1 2 3 4 5 6 789 10 Strong Positive Correlation y 20 20 19 18 16 15 12 8765 Decreasing Exponential Regression z0 1 2 3 4 5 6 7 8 9 10 5. Strong Negative Correlation y 20 19 20 18 16 15 13 11 10 11 10
15
Suppose that a regression line is found to be ý = 0.5470x +7.7000 What is the predicted value for a = 7? O a. 11.53 O b. 54-45 C. 53-35 O d. -3.87
1. 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. X 7 y 7.20 12 6 7.04 6.16 13 4 5.94 3.04 3 0.94 y = __ __ x (Round to two decimal places as needed.) 10 8.16 9 8.20 11 7.78 5 8 4.78 7.88
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. 11 8 11 13 6 13 6 y 7.24 6.87 12.78 6.87 7.75 8.85 6.28 5.61 8.28 6.72 5.52 Create a scatterplot of the data. Choose the correct graph below. VA. OB. OC. OD. 25- Ay 25- 25- 25- 20- 20 20- 20 15 155 155 155 10- 10- 10 10- 5- 5- 5 55 0- 05 10 15 20 25 0- O 5 10 15 20 25 04 05 10 15 20 25 0- 05 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.)
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. 11 9. 11 8. 10 13 4 11 У 7.25 6.95 13.17 7.16 7.42 9.19 5.79 5.34 7.92 6.36 5.92 Create a scatterplot of the data. Choose the correct graph below. В. OC. D. A. Ay 25- Ay 25- Ay 25- Ay 25- 20 20 20- 20 153 15 15 15 10 10 10 10 5- 5 55 55 0- 05 10 15 20 25 0- 0 5 10 15 20 25 05 10 15 20 25 0- 05 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal playes as needed. Round the coefficient to three decimal places as needed.) of
1. ŷ = ___ ＋___ X (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) 2. Identify a characteristic of the data that is ignored by the regression line.
5. Explain what the correlation coefficient tells you about the relationship between your variables. 7. Interpret the slope of the regression equation in terms of the variables in your data set.
4. Residuals are... the difference between observed and values the model. B. data collected from individuals that is not consistent with the rest of the group. C. none of these D. possible models not explored by the researcher. E. variation in the data that is explained by the model. 5. If the point in the upper right corner of this scatterplot is removed from the data set, then what will happen to the slope of the line of best fit (b) and to the correlation (r)? A. b will increase, and r will decrease. b will decrease, and r will increase. C. both will decrease. D. both will increase. E. both will remain the same. 6 An 8th grade class develops a linear model that predicts the number of cheerios (a small round cereal) that fit on the circumference of a plate by using the diameter in inches. Their model is: # cheerios = 0.56 +5.11(diameter). The slope of this model is best interpreted in context as... A. For every 5.11 inches of diameter, the circumference is about 1 cheerio bigger. B.…
10.2-7 Question Help Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. 1 3 7 9. y 143 116 100 98 90 O A. V = 140.4 – 6.2x OB. y = - 150.7 + 6.8x O C. y = - 140.4 + 6.2x O D. V = 150.7-6.8x

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