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The following 3 questions (098 to 0100) are based upon the scatterplots below: A B Q98:...
A) B) C) Based on the data shown below, calculate the correlation coefficient to three decimal...
A)
B)
C)
Based on the data shown below, calculate the correlation coefficient to three decimal places) 19.59 16.71 114.53 7 13.14 11.85 11.17 13 849 7.3 Here is a bivariate data set. 38.7 91.5 25. 6 993 572 36. 4 854 293 218 83.7 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage...
Use the following data to answer Questions 17-18. It shows temperature recorded on various days of...
Use the following data to answer Questions 17-18. It shows temperature recorded on various days of the year (independent variable) and number of patrons at The Ice Cream Shop (dependent variable). Temp (X) Patrons (Y) 85 25 75 20 16 14 61 18 42 13 What is the correlation coefficient between temperature and Ice Cream Shop patrons? 0.96 0.78 0.88 0.42 What is the regression equation which uses temperature to predict patrons? Y = 0.16X + 9.30 Y =9.30X +...
4 Scatterplots Match these values of r with the five scatterplots shown here and the next page: 0...
4 Scatterplots Match these values of r with the five scatterplots shown here and the next page: 0.268, 0992.-1, 0.746, and 1 . on y 14 12 00 a1 02 30405 0.6 0.7 0.8 0.9 OS 0.6 07 Graphs in Statistical A plore! Exercises 9 and 10 provide two data sets from " by E J. Anscombe, The American Statistician, Vol. 27. For each exercise a. Construct a scatterplot b. Find the value of the linear correlation coefficient r, then...
Used Cars - Actual Data: Below are the scatterplots, regression equations, and corresponding statistics for mileage,...
Used Cars - Actual Data: Below are the scatterplots, regression equations, and corresponding statistics for mileage, model year, and price for 15 different Honda Civics found on craigslist in May 2012. Mileage -vs- Price: x = Mileage (in thousands of miles) y = Price (in dollars) correlation coefficient: r = −0.886 regression equation: ŷ = −76.12x + 15,585.8 sample size: n = 15 Model Year -vs- Price: x = Model Year y = Price (in dollars) correlation coefficient:...
1. Identify the formula for predicting an individual's z score on the dependent variable from their z score on the independent variable. a.) (rxy)(zy) b.) (rxy)(zx) c.) zx/zy d.) (zx)(zy) 2. Data...
1. Identify the formula for predicting an individual's z score on the dependent variable from their z score on the independent variable. a.) (rxy)(zy) b.) (rxy)(zx) c.) zx/zy d.) (zx)(zy) 2. Data from the 1993 World Almanac and Book of Facts were used to predict the life expectancy for men in a country from the life expectancy of women in that country. The resulting regression equation was Yˆ = 9.32 + 0.79(X). Using the regression equation, what would you predict...
e ssion correon) Then the m o on to predict the Find the union of the...
e ssion correon) Then the m o on to predict the Find the union of the m y for each of the oven Might, o re venden con fort of the cand wheregression in mening Theibew show s and the numbers of 764255205101402404 564745433736 the prof brudge in aty 500 Ft d) x 052 727 Find the regression equation y- x+HD (Round the slope to three decimal places as needed. Round they intercepto two decimal places as onded Find the...
The following is a chart of 25 baseball players' salaries and statistics from 2016. In order...
The following is a chart of 25 baseball players' salaries and
statistics from 2016.
In order to have correlation with 95% significance, what is the
critical r-value that we would like to have?
(Round to three decimal places for all answers on this
assignment.)
RBI vs. Salary
Complete a correlation analysis, using RBI's as the x-value and
salary as the y-value.
Correlation coefficient:
Regression Equation: y=
HR vs. Salary
Complete a correlation analysis, using HR's as the x-value and
salary...
You run a regression analysis on a bivariate set of data ( n = 41 )....
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
= You run a regression analysis on a bivariate set of data (n 90). With t...
= You run a regression analysis on a bivariate set of data (n 90). With t = 32.8 and y 56.2, you obtain the regression equation y = 3.482x + 43.485 with a correlation coefficient of r = 0.089. You want to predict what value (on average) for the response variable will be obtained from a value of 100 as the explanatory variable. You find that the regression equation p value is above your a value. What is the appropriate...
Question 41 2 pts This question and the next question are based on the following same...
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
A)
B)
C)
Based on the data shown below, calculate the correlation coefficient to three decimal places) 19.59 16.71 114.53 7 13.14 11.85 11.17 13 849 7.3 Here is a bivariate data set. 38.7 91.5 25. 6 993 572 36. 4 854 293 218 83.7 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage...
4 Scatterplots Match these values of r with the five scatterplots shown here and the next page: 0.268, 0992.-1, 0.746, and 1 . on y 14 12 00 a1 02 30405 0.6 0.7 0.8 0.9 OS 0.6 07 Graphs in Statistical A plore! Exercises 9 and 10 provide two data sets from " by E J. Anscombe, The American Statistician, Vol. 27. For each exercise a. Construct a scatterplot b. Find the value of the linear correlation coefficient r, then...
e ssion correon) Then the m o on to predict the Find the union of the m y for each of the oven Might, o re venden con fort of the cand wheregression in mening Theibew show s and the numbers of 764255205101402404 564745433736 the prof brudge in aty 500 Ft d) x 052 727 Find the regression equation y- x+HD (Round the slope to three decimal places as needed. Round they intercepto two decimal places as onded Find the...
The following is a chart of 25 baseball players' salaries and
statistics from 2016.
In order to have correlation with 95% significance, what is the
critical r-value that we would like to have?
(Round to three decimal places for all answers on this
assignment.)
RBI vs. Salary
Complete a correlation analysis, using RBI's as the x-value and
salary as the y-value.
Correlation coefficient:
Regression Equation: y=
HR vs. Salary
Complete a correlation analysis, using HR's as the x-value and
salary...
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
= You run a regression analysis on a bivariate set of data (n 90). With t = 32.8 and y 56.2, you obtain the regression equation y = 3.482x + 43.485 with a correlation coefficient of r = 0.089. You want to predict what value (on average) for the response variable will be obtained from a value of 100 as the explanatory variable. You find that the regression equation p value is above your a value. What is the appropriate...
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
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