What does the residual plot tell you about the linear regression model? * Fitted Value O The plot suggests that the residuals having a constant variance. O The linear model could not be used for prediction. O We can conclude that there is significant relationship between the variables. O The linear model is appropriate to explain the relationship between the variables. jenpiso

What does the residual plot tell you about the linear regression model? * Fitted Value O The plot suggests that the residuals having a constant variance. O The linear model could not be used for prediction. O We can conclude that there is significant relationship between the variables. O The linear model is appropriate to explain the relationship between the variables. jenpiso

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Regularization picks beta coefficients to minimize sum of squared residuals(RMSE squared) plus a penalty. T or F Multiple linear regression can be used for both explanatory and predictive modeling. T or F Which of the following about the data is TRUE? Ethnicity has two distinct categories. Age is the response variable. Credit Balance is the outcome variable. Married is an ordinal categorical variable
Select all the "vs fit residual plots" that violate the conditions for linear regression. Ob Oc a None of the Above Explain your reasoning for each b C
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?
What is a residual? Explain when a residual is positive, negative, and zero. OA. A residual is the sum of the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is below the line, negative when it is above the line, and zero when the observed y-value equals the predicted y-value. OB. A residual is the difference between the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value. OC. A residual is the difference between the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is below the line, negative when it is above the line, and zero when the observed…
Help?
How do find the answer on paper and the TI84
y 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 11 7 7 4 13 13 10 12 14 13.32 6.78 7.89 8.93 5.83 5.44 y 7.59 6.64 8.05 7 5 D 6.3 5.94 (...) OA. B. O D. Q 25- Q 25- 20 20 15 Q Q 155 10 10- O C. 25+ 20 153 5- DOOR P 28 10 5- 0 5 0 5 10 15 20 25 0 5 10 15 20 25 0- 0 5 10 15 20 25 Find the equation of the regression line. y=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is no characteristic of the data that is ignored by the regression line. B. The data has a pattern that is not a straight line. OC. There is an influential point that strongly affects the graph of the regression line. Av Ay 25 20 15: 10 Q Q Aу Ay / 53 0 0 5 10 15 20 25
Thius excel worksheet was based on specific independent and dependent variables. Think of another independent variable that you think would be a better predictor of the dependent variable. Give the name of that variable and explain why you think this would be a better predictor than the current independent variable.
Please do not give solution in image format thanku
using Excel
Find the equation for the line of best fit, by clicking on “calculate least squares regression line.” Include this equation as well as a screenshot of the scatter plot containing the line of best fit.
Ans all 3 parts