B6. Pinan Insurance Company wants to study the relationship between the amount of fire damage andthe distance between the burning house and the nearest fire station. This information will be used insetting rates for insurance coverage. For a sample of 30 claims for the last year, the director of theactuarial department determined the distance from the fire station (x) and the amount of fire damage, inthousands of dollars (y). The MegaStat output is reported below.ANOVA tableSourceRegressionResidualTotalRegression outputVariablesInterceptDistance-XAnswer the following questions.SS1,864.57821,344.49343,209.07Coefficients12.36014.7956df12829MS1,864.578248.0176Std. Error3.29150.7696c) Determine and interpret the coefficient of determination.F38.83t(df=28)3.7556.231d) Determine the correlation coefficient. Interpret its value. How did you determine the sign ofthe correlation coefficient?

The question is about regression Given : From output : SSRegression = 1864.5782 SSTotal = 3209.07…

Answered: c) Determine and interpret the…

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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PLEASE HELP ANSWER ALL SUBS A-i THANK YOU A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. PLAESE ANSWER ALL SUBS A-i its all one question Time 16 8 29 24 8 7 14 19 15 Money 41 29 85 80 42 45 70 71 59 A. Find the correlation coefficient: r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0: ρ = 0H1: ρ ≠ 0 B.The p-value is:? (Round to four decimal places) C. Use a level of significance of α=0.05 to state the conclusion of the hypothesis test in the context of the study? There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the…
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Does an employee’s attitude affect their job performance? Performance 59 63 65 69 58 77 76 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 Calculate the correlation coefficient, r, and describe the relationship, if any, between the variables 11.659, positive linear 4.837, positive linear 0.863, positive linear 0.745, positive linear 0.0013, positive linear
Does a major league baseball team's record during spring training indicate how the team will play during the regular season? Over a six-year period, the correlation coefficient between a team's winning percentage in spring training and its winning percentage in the regular season is . Shown are the winning percentages for the American League teams during a season. Team SpringTraining RegularSeason Team SpringTraining RegularSeason Baltimore Orioles 0.409 0.424 Minnesota Twins 0.492 0.542 Boston Red Sox 0.426 0.588 New York Yankees 0.579 0.559 Chicago White Sox 0.411 0.535 Oakland A's 0.690 0.468 Cleveland Indians 0.578 0.492 Seattle Mariners 0.492 0.379 Detroit Tigers 0.578 0.459 Tampa Bay Rays 0.722 0.601 Kansas City Royals 0.540 0.461 Texas Rangers 0.640 0.491 Los Angeles Angels 0.724 0.619 Toronto Blue Jays 0.442 0.533 a. What is the correlation coefficient between the spring training and the regular season winning percentages…
èstion 1 Provide an appropriate response. In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient. 173 79 122 | 105 53.5 142 | 205 85.4 522 349 Rainfall (in inches), x 15.1 12 8.7 17.7 Yield (bushels per acre), y O 0.900 O 0.981 O 0.998 49.2 618 62 818 O 0.899 A Moving to another question will save this response. Question 1 of 20>> 11:33 AM (ゆッ 5/19/2021 PrtSen Home PgUP End E D B Alt
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What can be said about the relationship between the cost of advertising and the number of products sold? A. Strong negative correlation B. very strong negative correlation. C. Strong positive correlation. D. Very strong positive correlation
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Please explain the test statistic t
PLEASE HELP ANSWER ALL SUBS D-i THANK YOU A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. PLAESE ANSWER ALL SUBS A-i its all one question Time 24 19 21 20 18 24 25 Money 102 78 79 80 72 84 105 A. Find the correlation coefficient: r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0: ρ = 0H1: ρ ≠ 0 B.The p-value is:? (Round to four decimal places) C. Use a level of significance of α=0.05 to state the conclusion of the hypothesis test in the context of the study? There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the…

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c) Determine and interpret the coefficient of determination. d) Determine the correlation coefficient. Interpret its value. How did you determine the sign of the correlation coefficient?