You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n=20, you determine that SSR=60 and SSE=40. d. Compute the correlation coefficient by first computing r2 and assuming that b1 is negative. r2 = enter your response here (Round to four decimal places as needed.)
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You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n=20, you determine that SSR=60 and SSE=40.
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r2
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enter your response here
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- You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n=22, you determine that SSR=60 and SSE=20. d. Compute the correlation coefficient by first computing r2 and assuming that b1 is negative. (Round to four decimal places as needed.)You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n=20, you determine that SSR=60 and SSE=40. d. Compute the correlation coefficient by first computing r2 and assuming that b1 is negative. r = enter your response here (Round to four decimal places as needed.)You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 60 and SSE = 40. a) What is the value of F STAT ? b) At the a = 0.05 level of significance, what is the critical value? c) Based on your answers to (a) and (b), what statistical decision should you make? d) Compute the correlation coefficient by first computing r 2 and assuming that b 1 is negative. e) At the 0.05 level of significance, is there a significant correlation between X and Y?
- A computer while calculating correlation coefficient between two variables X and Y from 25pairs of observation obtained the following results: n=25, 2X=125, EX2 = 650, Y=100,Y2= 460, 2XY=508. But on subsequent verification it was found that he had copied downtwo pairs as (6,14) and (8,6) while the correct values were (8,12) and (6,8). Obtain the correctvalue of correlation coefficient?From the data of the following table: Calculate Spearman's rank correlation coefficient between x and y and determine its type. sSuppose the random variables X and Y are inde lent and identically distributed. Let Z =aX +Y. If the correlation coefficient between X and Z is1/3 , then what is the value of the constant a ?
- The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 89.7 86.1 83.6 81.8 78.7 74.1 64.4 71.2 64.5 66.4 Critical Values for Correlation Coefficient n 3 0.9974 0.9505 0.8786 0.8117 0.7548 0.7079 0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361n (a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable. y=negative 2.907−2.907x+89.133 (b) Interpret the slope and the…The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 89.7 86.1 83.6 81.8 78.7 74.1 64.4 71.2 64.5 66.4 Critical Values for Correlation Coefficient n 3 0.9974 0.9505 0.8786 0.8117 0.7548 0.7079 0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361n (a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable. y=negative 2.907−2.907x + 89.133 c) predict the final exam score for a student who…The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 89.7 86.1 83.6 81.8 78.7 74.1 64.4 71.2 64.5 66.4 Critical Values for Correlation Coefficient n 3 0.9974 0.9505 0.8786 0.8117 0.7548 0.7079 0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361n (a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable. y=negative 2.907−2.907x + 89.133 c) the final exam score for a student who kissed…
- As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. (4 pts. total) Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Suppose you will perform a test to determine whether there is sufficient evidence to support a claim of a linear correlation between two variables. Find the critical values of r given n = 11 at a significance level of 0.05. ±± 0.575 ±± 0.514 ±± 0.555 ±± 0.602The major of a very small town wants to compare the number of flu cases that she has in her town(a sample) to the number of flu cases nation wide (the population) to see differ. What is the most appropriate test statics to use to test the hypothesis in scenario 1? A) Dependent sample t test B) Z-score C) Independent Sample t test D) One sample z-test E) Correlation coefficient