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Question 3 (I mark) Suppose you got three observations. Number of Police Officers (X) Number of...
Question 16 (6 points) The number of police officers, X, and the number of murders committed...
Question 16 (6 points) The number of police officers, X, and the number of murders committed in 2015 in US cities, y are related by the regression line equation y = 0.786 +0.032x. According to the model, how many murders were committed in 2015 in a city with x = 318 police officers? Round your answer to the nearest whole number.
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X....
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
Question 47 (20 points) A local tire dealer wants to predict the number of tires sold...
Question 47 (20 points) A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars). Based on the data set with 6 observations, the simple linear regression model yielded the following results. X = 24...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF QUESTIONS :( *** Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF
QUESTIONS :( ***
Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
The table below gives the list price and the number of bids received for five randomly...
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make...
Q. 34 Part A. Using the dataset below, calculate the covariance and correlation coefficient between X...
Q. 34 Part A. Using the dataset below, calculate the covariance and correlation coefficient between X and Y. For ease, copy and paste the dataset onto your spreadsheet. X Y 21 35 24 27 23 31 30 38 22 36 18 40 20 37 26 28 a.) Covariance = 5.71. Correlation coefficient = -0.32 b.) Covariance = -5. Correlation coefficient = -0.32 c.) Covariance = -5.71. Correlation coefficient = -0.32 d.) None of the above Part B. Refer to the...
Problem 5- Simple Linear Regression The following data represent the number of flash drives sold per...
Problem 5- Simple Linear Regression The following data represent the number of flash drives sold per day at a local computer shop and their prices Price $34 36 32 35 30 Units Sold 6 40 A computer output is produced to examine this relationship further SUMMA RY OUTPUT Regression Statistics Multiple R RSquare Adjusted R Square Standard Error Observations 0.924982 0.855592 0.826711 1.119949 7 ANOVA MS gnificance F Regression Residual Total 137.15714 37.15714 29.62415 0.002842 5 б,271429 1.254286 6 43.42857...
Please show instructions on how you got the answer. Thank you. Question 1: Question 2: Given...
Please show instructions on how you got the answer. Thank
you.
Question 1:
Question 2:
Given are five observations for two variables, x and y. 1 2 3 4 (a) Develop a scatter diagram for these data. (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative linear relationship between x and y. There appears to be a positive linear relationship between x and y. There...
and y Given are five observations for two variables, 7 20 17 13 29 13 48 52 58 a. Choose the correct scatter diagram f...
and y Given are five observations for two variables, 7 20 17 13 29 13 48 52 58 a. Choose the correct scatter diagram for these data: B. 60- 60 50- 50 40 30- 30 20- 20 10- 10 40 60 x 50 30 60 v 20 10 4C 50 30 10 D C y y 60- 60 50- 50 40- 40 30- 30 60+ 60+ 50- 50- 40+ 40- 30+ 30- 20+ 20+ 10+ 10 10 20 30 40...
Question 16 (6 points) The number of police officers, X, and the number of murders committed in 2015 in US cities, y are related by the regression line equation y = 0.786 +0.032x. According to the model, how many murders were committed in 2015 in a city with x = 318 police officers? Round your answer to the nearest whole number.
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
Question 47 (20 points) A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars). Based on the data set with 6 observations, the simple linear regression model yielded the following results. X = 24...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF
QUESTIONS :( ***
Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
Problem 5- Simple Linear Regression The following data represent the number of flash drives sold per day at a local computer shop and their prices Price $34 36 32 35 30 Units Sold 6 40 A computer output is produced to examine this relationship further SUMMA RY OUTPUT Regression Statistics Multiple R RSquare Adjusted R Square Standard Error Observations 0.924982 0.855592 0.826711 1.119949 7 ANOVA MS gnificance F Regression Residual Total 137.15714 37.15714 29.62415 0.002842 5 б,271429 1.254286 6 43.42857...
Please show instructions on how you got the answer. Thank
you.
Question 1:
Question 2:
Given are five observations for two variables, x and y. 1 2 3 4 (a) Develop a scatter diagram for these data. (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative linear relationship between x and y. There appears to be a positive linear relationship between x and y. There...
and y Given are five observations for two variables, 7 20 17 13 29 13 48 52 58 a. Choose the correct scatter diagram for these data: B. 60- 60 50- 50 40 30- 30 20- 20 10- 10 40 60 x 50 30 60 v 20 10 4C 50 30 10 D C y y 60- 60 50- 50 40- 40 30- 30 60+ 60+ 50- 50- 40+ 40- 30+ 30- 20+ 20+ 10+ 10 10 20 30 40...
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