At the .05 significance level, does the data below show significant correlation? x y 3 46.97 4 45.28 5 42.49 6 40.6 7 44.91 8 35.52 9 34.43 10 27.34 11 25.65 12 35.66 13 28.97 14 21.78 15 16.19 16 17.9 Yes, significant correlation No

Interpret the following output from a survey asking employees to indicate how many accidents they experienced at work (reported accidents), whether their supervisors enforce safety regulations (enforce), and how much their organization emphasized safety (safclim). Select all that apply. Correlations # Reported Accidents Pearson Correlation Sig. (2-tailed) N enforce Pearson Correlation Sig. (2-tailed) N safclim # Reported Accidents Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1.000 123.000 .033 .716 121 -.064 .487 122 enforce .033 .716 121 1.000 safclim -.064 .487 122 .528** .000 126 1.000 126.000 .528** .000 126 127.000 This shows that there is a significant correlation between accidents at work and how much the organization emphasizes safety This shows that there is a positive correlation between the amount of supervisors enforce safety regulations and how much the organization emphasized safety There is a large effect size for…

1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?

Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) Tip (dollars) 31.80 52.94 85.82 102.16 60.17 111.77 D 5.46 6.07 15.82 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. O A. O B. Oc. D. Q 25- 25- 25 0- 30 0- 30 Bill Amount ($) 0+ 30 Bill Amount (S) 0- 30 Bill Amount (S) 120 120 120 Bill Amount (S) 120 The linear correlation coefficient is r= 0.954 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: p H,: P (Type integers or decimals. Do not round.) Tip Amount ($) ip Amount ($) Tip Amount ($) Tip Amount ($)

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Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.

At the .05 significance level, does the data below show significant correlation? x y 3 12.87 4 13.66 5 17.95 6 23.44 7 15.93 8 13.62 9 27.91

Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…

7. A real estate agent believes that the monthly rents of houses depend on the size of the houses. A sample of seven houses is a residential area was selected and the information gathered is shown in table below. Compute the value of correlation coefficient. Interpret your finding. Monthly rent (RM '00), y Size ('00 square feet), X 12.11 10.61 16.07 9.41 15.06 17.08 9.14 14.12 8.16 12.09 14.91 7.17 16.13 11.15

Which of the following is an appropriate research question for a correlation? Group of answer choices Is there a relationship between weather and mood? Does cold weather impact mood? Does drinking milkshakes make children happy? Does exercising reduce weight?