Using your favorite statistics software package, you generate a scatter plot with a regression equation andcorrelation coefficient. The regression equation is reported asy = - 97.06x + 49.41and the r =- 0.77.What percentage of the variation in y can be explained by the variation in the values of x?% (Report exact answer, and do not enter the % sign)

We have given that Regression equation Y = - 97.06x + 49.41 And correlation coefficients r= -…

Answered: Using your favorite statistics software…

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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You just used a scatterplot to examine the relationship between CO2 emissions and city fuel consumption for 502 vehicles that use regular fuel. Find the correlation between these two variables. Round to 3 decimal places. Please make sure you use the correct variables in the data set.
The relationship between the cost of a concert ticket and a ranking of the performer's popularity was summarized by a regression equation with slope of 135 and y-intercept of -373. What is the equation of the regression line? cost =+ (O popularity Enter your answer in each of the answer boxes. tv 12 MacBook Air DD 888 esc F7 F8 F9 F5 F6 F1 F2 F3 F4
Can you please check my work
A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.105 b=27.483Use this to predict the number of sit-ups a person who watches 9.59.5 hours of TV can do in a minute. Round to the nearest whole number.
People often wonder which has the greater relationship with body weight, daily calories, or daily exercise. While there are certainly many factors that can affect body weight, these are often the two most investigated. A research group performed a correlation analysis. First, they calculated the correlation between body weight and calorie intake. The r-value was found to be .52. Next, the research group calculated the correlation between hours of exercise per week and body weight. The r value was - .57. Which statement is FALSE? The correlation between exercise and body weight is weaker than the relationship between calorie intake and body weight. The correlation between body weight and calorie intake is a strong relationship. The correlation between body weight and exercise is a strong relationship. The correlation between exercise and body weight is stronger than the relationship between calorie intake and body weight.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−94.15x+39.69y=-94.15x+39.69and the r=−0.12r=-0.12.What percentage of the variation in y can be explained by the variation in the values of x?r² = % (Report exact answer, and do not enter the % sign)
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as 94.13x + 21.26 y = and the T 0.61. What percentage of the variation in y can be explained by the variation in the values of x? (Report exact answer, and do not enter the % sign) Submit Question su ve Course ns search ins prt sc delete f12 no fa 144 f6 I01 backs & %24 8. 4.
Write a multiple regression equation that can be used to analyze the data for a two-factorialdesign with two levels for factor A and three levels for factor B. Define all variables.
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Analysis of the relationship between the fuel economy (combinedMPG) and displacement (in liters) for 1262 models of cars produces the regression model combinedMPH = 33.472 - 3.317Displacement. Explain what the slope means.
The table gives the amount of money (in dollars) spent on football by a major university. Letting a represent the number of years since 2005, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2005 2006 2007 2008 2009 2010 Dollars spent on football 165,000 196,000 210,000 226,000 242,000 279,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2024. +A Predict the amount of money that will be spent on football in the year 2041.

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