Which of the following cannot be answered from a linear regression equation? [j]Estimate whether the linear relationship between X and Y is positive or negativeEstimate whether the relationship between X and Y is linear or non-linear.Estimate the slope coefficient between X and YO Predict the value of Y at a particular value of X

Answered: Image /qna-images/answer/73033d65-f234-4003-834d-169c30c322fb.jpg

Answered: Which of the following cannot be…

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

2 Use 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 y = mx + b X 1 2 5 6 3 4 132 149 y 86 106 165 Question Help: Video Message instructor Submit Question Jump to Answer 80 F2 F3 W S X mand #3 E D C $ 4 F4 R F % 5 V T 120 G ^ 6 MacBook Air & 7 B Y H N U * 00 8 DII F8 - J N M 9 K 92 O L F10 P command
Data on tuition and mid-career salary are collected from a number of universities and colleges. The result of the data collection is the linear regression model ŷ where x = annual tuition and y = average mid-career salary of graduates, both in thousands of dollars. = 0.84x + 161 1. Which quantity is the independent variable? annual tuition average mid-career salary of graduates 2. According to this model, what is the average salary for a graduate of a college or university where the annual tuition is $30,000? S 3. What is the slope of this regression model?
Select the appropriate interpretation for the slope of the linear regression equation below. Y (Dependent Variable) = Cost of an annual pass to Disney in dollars X (Independent Variable) = Average number of people who visit each day in thousands of people yhat = 2122.86 - 30*X A. For every 1 thousand more people on average who visit Disney each day then the price of an annual pass will decrease on average by 30 dollars B. For every 1 dollar more that a Disney annual pass costs then on average the daily attendance at the park has decreased by 30 thousand people. C. For every 1 thousand more people on average who visit Disney each day then the price of an annual pass will increase on average by 30 dollars D. For every 1 dollar less that a Disney annual pass costs then on average the daily attendance at the park has increased by 30 thousand people.
Input 'X' Family Median Percentiles OutPut 'Y' Percent Of Children Attending College 100 94 1 25 Find The Linear equation using the above data.
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 21 wins (d) x = 15 wins ERA 6- ERA 6- AERA 6- ERA 6- 4- 4- 4- 4- 2- 2- 2- 2- 0+ 6 0- 0- 0- 12 18 24 6. 12 18 24 12 18 24 6 12 18 24 Wins Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice below and, if necessary, fill in the answer box within your choice. A. ŷ= (Round to two decimal places as needed.) B. It is not meaningful to predict this value of y because…
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5
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.
The following table compares the length of a rhinoceros horn (in inc Use linear regression to find the equation for the line that best fits decimal places. Write your final answer in a form of an equation y = 37 199 203 34 49 46 245 226 40 43 52 55 259 X. 187 230 268
Forest Fires and Acres Burned Number of fires and number of acres burned are as follows: find y' when x = 60 fires Fires x 72 69 58 47 84 62 57 45 Acres burned y 62 42 19 26 51 15 30 15 Find the equation of the regression lie and find the y' value for the specified x value.
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y =-1.364x+17,178.20. Complete parts (a) and (b) below. Produced, x Imported, y 5,744 5,554 5,439 5,188 5,136 5,067 D 9,132 9,677 10,017 10,193 10,149 10,075 5,756 9,328 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.)
The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? Click the icon to view the data. Determine the VIF for each independent variable in the model. | VIF ₂2 = VIF₁ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? OA. No. The VIF for each independent variable is less than 5. B. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. OD. Yes. The VIF for each independent variable is less than 5. wwwwwww Table of Data Standby Total Staff Hours Present 245 330 274 358 195 197 117 153 115 275 200 236 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479 Print Done
An individual wants to determine how much money a boy scout earns from selling popcorn (Y-variable) based on the length of time (in days) that they went out selling (X-variable). Using the following linear regression equation Ŷ = 5 + 20X: a. State the value of the intercept AND the value of the slope (2 points) b. Based on the given regression equation, what can you determine about the direction of the relationship between X and Y (i.e. is it positive or negative)? (2 points) c. If a boy scout sells popcorn for 4 days, how much money is he predicted to earn? (2 points)

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS