n Click the icon o view the scatterplot of average teacher pay and per pupil expenditures. From the scatterplot, is the correlation between average teacher pay and per pupil expenditure positive, negative, or near zero? he correlation is positive, because the scatterplot shows that as average teacher pay increases, the average per pupil expenditure tends to increase, and the regression line has a positive slope. What is the slope of the regression equation? Interpret the slope in the context of the problem. Select the correct choice below and fill in the answer be Type integers or decimals. Do not round.) O Average Teacher Pay and Average Per Pupil Expenditure DA. The slope is For each additional $1 in average per pupil expenditure in a state, the average teacher pay increases by an average of $. OB. The slope is For each additional $1 in average teacher pay in a state, the average per pupil expenditure increases by an average of $. 26000- Avg Per Pupil $ = - 6968 +0.342 Avg Teacher Pay 24000- 22000- 20000- 18000- 16000- 14000- 12000- 10000- 8000- 6000- 4000- 40000 4500 50000 5500 60600 6500 70600 7500 80000 8500 Average Teacher Pay Average Per Pupil Expenditure

n Click the icon o view the scatterplot of average teacher pay and per pupil expenditures. From the scatterplot, is the correlation between average teacher pay and per pupil expenditure positive, negative, or near zero? he correlation is positive, because the scatterplot shows that as average teacher pay increases, the average per pupil expenditure tends to increase, and the regression line has a positive slope. What is the slope of the regression equation? Interpret the slope in the context of the problem. Select the correct choice below and fill in the answer be Type integers or decimals. Do not round.) O Average Teacher Pay and Average Per Pupil Expenditure DA. The slope is For each additional $1 in average per pupil expenditure in a state, the average teacher pay increases by an average of $. OB. The slope is For each additional $1 in average teacher pay in a state, the average per pupil expenditure increases by an average of $. 26000- Avg Per Pupil $ = - 6968 +0.342 Avg Teacher Pay 24000- 22000- 20000- 18000- 16000- 14000- 12000- 10000- 8000- 6000- 4000- 40000 4500 50000 5500 60600 6500 70600 7500 80000 8500 Average Teacher Pay Average Per Pupil Expenditure

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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Box office totals: The data is the 50 highest grossing films(as of 2021.) Box office totals are measured in billions of dollars. -create a scatter plot with the explanatory variable be the Year and response the Revenue (in billions). Make sure to make a copy of the scatterplot in the word document. -find the equation of the least square's regression line. -interpret the correlation coefficient, and coefficient of determination (One sentence each) -Is year a good predictor of the box office revenue? Give a 1 to 2 sentence reason why you think so or not?
10) Using advertised prices for used Ford Escorts a linear model for the relationship between a car's age and its price is found. The regression has an R2-87.4%. Write a sentence summarizing what R2 says about this regression. A) The age of the car explains 9.35% of the variation in price. B) The price of the car explains 12.6% of the variation in age. C) The age of the car explains 87.4% of the variation in price. D) The price of the car explains 87.4% of the variation in age. E) The age of the car explains 12.6% of the variation in price. Solve. Round to two decimal places if necessary. 11) At one college, 68% of students have credit cards. A credit card company, looking for new customers, sets up a booth at the college. If they pick students at random, how many students should they expect to talk to before finding one who does not have a credit card? A) 32 B) 3.13 D) 68 C) 0.32 E) 1.47
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KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
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