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1. Choose the correct answer from the choices given. (2 points) a. Select the most likely...
***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...
(5 points each) Given the data below, answer the questions 5. | 2 | 5 |...
(5 points each) Given the data below, answer the questions 5. | 2 | 5 | 7 | 8 | 10 y 5 6 109 12 a) Find the value of the linear correlation coefficient r. b) Is there a linear correlation between the x and y values? Do a test. c) Find the equation of the regression line. Predict y when x is 10. d) Find the value of the rank correlation coefficient rs
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...
please provide the correct answer 1. As the speed (in miles per hour) of an automobile...
please provide the correct answer
1. As the speed (in miles per hour) of an automobile increases, the gas mileage (in miles per gallon) first increases and then decreases. Suppose that this relationship is very regular, shown by the following data table and scatterplot. as Speed 30 40 50 60 70 Mileage 20 24 26 24 20 mileage 26 25 24 23 22 21 201 30 40 50 60 70 speed Why would we not want to compute a correlation...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...
Please help with multi step question- 1 question with 6 parts!! The table below gives the...
Please help with multi step question- 1 question with 6
parts!!
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
9. The data below are the hours spent studying and the corresponding test score earned. Assume...
9. The data below are the hours spent studying and the corresponding test score earned. Assume that the variables x and y have a significant correlation. Hours spent studying, x 0 2 4 5 5 5 6 7 8 Test score, y 4051 64 69 73 75 9390 95 a) Sketch a scatter plot of the data on provided graph paper segment. (2 pts) b) Describe the type of correlation you see if one exists. (1 pts) c) Find the...
1) 2) The accompanying scatterplot shows five blue data points. These five points produce a regression...
1)
2)
The accompanying scatterplot shows five blue data points. These five points produce a regression line with slope 0. Match each one of the red points (a through e) with the slope of the line after that one point is added. 1.1.1.1.2 0 2 4 6 8 10 12 Drag each point given above to the appropriate slope. [ 1) 0.65 2) 0.05 3) 0.00 | 4) -0.45 [ 5) -0.26 ] Researchers studying how a car's gas mileage...
***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...
(5 points each) Given the data below, answer the questions 5. | 2 | 5 | 7 | 8 | 10 y 5 6 109 12 a) Find the value of the linear correlation coefficient r. b) Is there a linear correlation between the x and y values? Do a test. c) Find the equation of the regression line. Predict y when x is 10. d) Find the value of the rank correlation coefficient rs
please provide the correct answer
1. As the speed (in miles per hour) of an automobile increases, the gas mileage (in miles per gallon) first increases and then decreases. Suppose that this relationship is very regular, shown by the following data table and scatterplot. as Speed 30 40 50 60 70 Mileage 20 24 26 24 20 mileage 26 25 24 23 22 21 201 30 40 50 60 70 speed Why would we not want to compute a correlation...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...
Please help with multi step question- 1 question with 6
parts!!
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
9. The data below are the hours spent studying and the corresponding test score earned. Assume that the variables x and y have a significant correlation. Hours spent studying, x 0 2 4 5 5 5 6 7 8 Test score, y 4051 64 69 73 75 9390 95 a) Sketch a scatter plot of the data on provided graph paper segment. (2 pts) b) Describe the type of correlation you see if one exists. (1 pts) c) Find the...
1)
2)
The accompanying scatterplot shows five blue data points. These five points produce a regression line with slope 0. Match each one of the red points (a through e) with the slope of the line after that one point is added. 1.1.1.1.2 0 2 4 6 8 10 12 Drag each point given above to the appropriate slope. [ 1) 0.65 2) 0.05 3) 0.00 | 4) -0.45 [ 5) -0.26 ] Researchers studying how a car's gas mileage...
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