Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) x y 1 19.88 2 20.44 3 15.7 4 14.86 5 11.52 6 8.38 7 7.34 8 4.2

Use the data values in the table below to calculate the correlation between the variables x and y. Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. y 4 27.22 5 23.83 6 23.94 7 22.85 8 20.96 9 17.07 10 14.68 11 16.49 12 14.6 Give your answer to three decimal places.

The data below are the ages and annual pharmacy b ills (in dollars) of 9 randomly selected employees. Calculate the linear correlation coefficient.Age, x: 30, 33, 37, 40, 43, 45, 49, 53, 57Pharmacy bill ($), y: 119, 123, 126, 134, 145, 148, 151, 153, 155A. 0.890B. 0.908C. 0.998D. 0.960

Suppose a clinical psychologist sets out to see whether sexual orientation is related to relationship longevity. He decides to measure relationship satisfaction in a group of homosexual couples and a group of heterosexual couples. He chooses the Marital Satisfaction Inventory because it refers to "partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples. Higher scores on the Marital Satisfaction Inventory indicate greater relationship satisfaction. The psychologist administers the Marital Satisfaction Inventory to 53 couples-23 are homosexual couples and 30 are heterosexual couples. He wants to calculate the correlation between a couple's relationship satisfaction and sexual orientation. Which of the following types of correlations would be most appropriate for the psychologist to use? O A phi-correlation A Spearman correlation OA point-biserial correlation A Pearson correlation

Write a report using Word. Cover the following topics. This file contains some information about different cars. Car Weight (pounds), x Miles per Gallon, y A 2750 31.5 B 3120 27.9 C 3385 23.7 D 3740 23.3 E 4225 21   Create a scatterplot for the data in the Weight and Braking columns. Paste it here. a)    Using StatCrunch or TI 83/84 to calculate the linear correlation between the data in the Weight and MPG columns. b)    Explain the mathematical relationship between Weight and MPG based on the linear correlation coefficient. Be certain to include comments about the magnitude and the direction of the correlation. c)   Write the equation for the least-squares regression line if there is one. d)   Predict the miles per gallon of car C and compute the residual.

Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) x y 4 31.6 5 30.45 6 29 7 26.95 8 28 9 25.85 10 23.6 11 21.15 12 20 13 18.55 14 14.5

Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) 18.27 16.66 4 16.45 14.64 6. 15.73 7 11.62 8. 10.11 6. 9.7

Given the following data pairs (x.y), calculate the correlation coefficient. (1, 1.24), (2, 5.23), (3, 7.24), (4, 7.60), (5, 9.97), (6, 14.31), (7, 13.99), (8, 14.88), (9, 18.04), (10, 20.70). 1. The coefficient of determination is strong? True or False 2. Obtain a prediction for x=4.5 A. 9.34 B. 2.21 C. 9.18 D. 2.15 3. Find the regression equation

A psychologist has calculated the correlation between two variables as 0.9. Which of the following statements is correct?  a. The average value of y changes by 0.9 when x is increased by 1.  b. The average value of x changes by 0.9 when y is increased by 1.  c. The explanatory variable ( x ) explains 0.9 of the variation in the response variable ( y )  d. The explanatory variable ( x ) explains 0.81 of the variation in the response variable ( y )