The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 12 80 14 40 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 10 70 14 50 13 60 10 90 15 30 11 100 a. Which graph below shows a scatter plot for these data? O A. O B. OD. Ay 120- Ay 120- 154 10+ 0+ 10 10 0- 10 120 15 120

Use a computer or statistical calculator to calculate the correlation coefficient in parts a through c below. Cost Miles a. The table shows the approximate distance between selected cities and the approximate cost of flights between those cities. Calculate the correlation coefficient between cost and miles. 190 958 413 3095 r= (Round to three decimal places as needed.) 256 1998 90 429 436 3008 b. This table shows the same information, except that the distance was converted to kilometers by multiplying the numbers of miles by 1.609 and rounding to the nearest kilometer. What happens to the correlation coefficient when numbers are multiplied by a positive constant? Cost Kilometers O 190 1541 413 4980 (Round to three decimal places as needed.) 256 3215 90 690 436 4840 A. The correlation is The correlation coefficient remains the same when the numbers are multiplied by a positive constant. B. The correlation is The correlation coefficient increases when the numbers are multiplied by a…

B. 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? 30.87 50.30 92.17 94.28 63.84 105.63 Bill (dollars) Tip (dollars) 5.90 7.08 14.83 18.07 7.93 20.08 Construct a scatterplot. Choose the correct graph below. OA. O B. C. O D. 25- 25- 25- 25- 120 120 30 Bill Amount ($) 120 30 120 30 30 Bill Amount ($) Bill Amount ($) Bill Amount ($) The linear correlation coefficient is r = (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho:p(1)– H1:p(2) – (Type integers or decimals. Do not round.) The test statistic is t = (Round to two decimal places as needed.) The P-value is (Round to…

please solve A, B, and D   ch 12

The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams, Hours spent studying 0.5 1 1.5 2 2.5 4 4.5 5 5.5 6 Midterm Grades 63 69 75 78 81 84 90 93 96 99 Draw a scatter plot of the given data. Select a location in the chart to plot a point. Points can be moved by dragging or using the arrow keys. Estimate the correlation in words: positive, neagative, no correlation Calculate the correlation coefficient, r. Round your answer to three decimal places.   Hours unspervised 0 1 2 4 5 Overall Grades 100 92 88 84 72 Calculate the correlation coefficient, r. Round your answer to three decimal places. Determine whether the given correlation coefficient is staatically significant at the specified level of significance and sample size. r=0.452 ,a=0.005, n=28

Which of the R values below is consistent with a "perfect" correlation?  a. 0.0 b. 0.5 c. -1.0 d. 0.95

Using this data, find the variance for between subjects.  Round your final answer to the nearest 2 decimal places.     0 Tacos 2 Tacos 4 Tacos 8 Tacos 10 Tacos 12 Tacos Jack 52 62 75 85 91 84 Jane 53 67 71 79 91 86 Jeff 55 99 69 79 54 65 Dr. Chu decided to conduct a study on the effects of the amount of tacos eaten per week and one's score on their final exam for STATS 101.  The data is presented above.

Please help!

a teacher asked her students how many hours of sleep they had the night before a test.   what type of correlation does your graph show? Determine a equation line of best fit BY HAND using the points 7,90 nd 6,76. hours slept      :  8        7        7        8       6         5       7       4        9        7 score                 83      86      74      88     76       63     90     60     89        81

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