If the data below represent the number of years of study and the wage earned by a sample of 10 women, calculate:
Explain briefly what is meant by linear correlation between two variables. Use a graph if necessary. (4) (b) If the data below represent the number of years of study and the wage earned by a sample of 10 women, calculate: i. the covariance of the two variables; (2) ii. the coefficients of variation of the two variables; and (2) iii. the variances of the two variables. (2) [10] Person Years of study Wage (R'000s) 1 2 3 4 5 6 7 8 9 10 12 17 14 15 13 10 14 15 16 11 15 32 20 24 21 14 26 25 28 16
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If the data below represent the number of years of study and the wage earned by a sample of 10 women, calculate:
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 question is this choose mcq quickly 10 p The following data represent the total number...
1 question is this choose mcq quickly
10 p The following data represent the total number of years of formal education for 40 employees of a bank. 13 17 13 14 12 17 19 13 15 13 16 18 13 11 19 19 14 15 13 15 17 18 17 14 13 17 12 17 17 16 16 17 15 13 13 14 12 14 1313 Construct a frequency distribution for the number of years of education. Number of years...
Listed below are annual data for various years. The data are weights (metric tons) of imported...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 228 265 359 482 534 Crash...
Listed below are annual data for various years. The data are weights (metric tons) of imported...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 266 359 483...
Listed below are annual data for various years. The data are weights (metric tons) of imported...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 266 358 482...
Listed below are annual data for various years. The data are weights (metric tons) of imported...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 232 265 357 483...
A study was done to look at the relationship between the number of movies people watch...
A study was done to look at the relationship between the number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 2 2 2 2 7 10 2 2 9 7 6 1 Books 10 6 6 6 3 0 8 5 1 6 2 6 x value y value Find the correlation coefficient: r=r= Round to 2 decimal places. The null...
1. The following data represent the age of first arrest for a sample of 50 boys....
1. The following data represent the age of first arrest for a sample of 50 boys. X (age) f cf % c% 9 1 1 2% 2% 10 9 10 18% 20% 11 10 20 20% 40% 12 5 25 10% 50% 13 7 32 14% 64% 14 4 36 8% 72% 15 7 43 14% 86% 16 5 48 10% 96% 17 1 49 2% 98% 19 1 50 2% 100% Σ 50 100 a. What is the mode,...
A study was done to look at the relationship between number of movies people watch at...
A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 6 4 7 10 2 3 6 7 9 10 3 2 Books 6 8 6 4 14 9 11 5 9 8 12 9 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation...
A recent 10-year study conducted by a research team at the Medical School was conducted to...
A recent 10-year study conducted by a research team at the Medical School was conducted to assess how age, blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker Blood...
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 question is this choose mcq quickly
10 p The following data represent the total number of years of formal education for 40 employees of a bank. 13 17 13 14 12 17 19 13 15 13 16 18 13 11 19 19 14 15 13 15 17 18 17 14 13 17 12 17 17 16 16 17 15 13 13 14 12 14 1313 Construct a frequency distribution for the number of years of education. Number of years...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 228 265 359 482 534 Crash...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 266 359 483...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 266 358 482...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 232 265 357 483...
A recent 10-year study conducted by a research team at the Medical School was conducted to assess how age, blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker Blood...
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