Altitude, x Speed of sound, y
0 1117.9
5 1096.9
10 1077.1
15 1057.4
20 1036.8
25 1015.1
30 995.6
35 968.3
40 966.7
45 966.7
50 966.7
(a) Display the data in a
(b) Calculate the sample
(c) Interpret the correlation. Choose the correct answer below.
(d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let α=0.01.
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- Years Height (cm) 0.9 0.79 2.0 3.98 2.1 4.81 4.0 11.41 4.8 29.72 5.2 24.2 6.2 26.81 9.0 91.47 9.1 129.45 Find the correlation coefficient and coefficient of determination for the data. Assess how well the line fits the data.arrow_forwardA scatterplot of two variables is a picture of the relationship represented in a correlation. Group of answer choices True Falsearrow_forwardThe table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? A. 40- 20- 2000 5000 2795 3225 3470 32 34 28 Weight (lb) B. 40- 20+ 2000 D 5000 Weight (lb) 4085 4155 2225 25 23 38 C. ● 20+ 2000 ● ● ● ● 5000 Weight (lb) Is there a linear relationship between weight and highway mileage? A. No, there appears to be no relationship. B. Yes, as the weight increases the highway mileage decreases. C. No, there appears to be a relationship, but it is not linear. D. Yes, as the weight increases the highway mileage increases. 40- 20- 2000 3440 29 5000 Weight (lb)arrow_forward
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- Use a graphing calculator to create a scatter plot and find the line of best fit and the correlation coefficient for the following data. Round to the nearest hundredth. X 2 4 6 8124 10 Part: 0/2 y 2 3 6 7 10 15 19arrow_forwardFind the mean for the set of grouped data. The mean is (Round to two decimal places if needed.) Interval 0.5-2.5 2.5-4.5 4.5-6.5 6.5-8.5 Frequency 1 8 5 1arrow_forwardx 39 49 57 71 81 86 y 3 6 12 22 28 41 Determine the Correlation Coefficient (r) for the above ordered paired data set. Group of answer choices 1.0156 0.5757 0.7898 0.9696arrow_forward
- The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Age, x Vocabulary size, y 1 5 2 240 3 560 4 1200 5 1900 6 2600 3 540 5 2200 2 280 4 1300 6 2300 (a) Display the data in a scatter plot. (b) Calculate the sample correlation coefficient r. (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let α=0.01.arrow_forwardSample grade point averages for ten male students and ten female students are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. Males 2.3 3.8 3.9 3.7 2.6 2.4 3.6 3.2 3.9 1.8 Females 2.7 3.6 2.2 3.9 3.7 4.2 1.9 3.9 3.6 2.1 ... The coefficient of variation for males is %. (Round to one decimal place as needed.) The coefficient of variation for females is %. (Round to one decimal place as needed.) Compare the variability of grade point averages of males and females. Choose the correct answer below. O A. The grade point averages of females and males have the same variation. O B. The grade point averages of males are more variable than females. O C. The grade point averages of females and males do not vary. O D. The grade point averages of females are more variable than males.arrow_forwardStan measured the circumference of his classmates' heads and compared it with their current grade in Math. The results are in the given table. Head (cm) Grade 55 23 53 92 57 84 56 88 55 97 53 87 54 72 57 64 57 91 Is there a strong correlation in this data set? How do you know? Yes, there is a strong correlation because the slope is 126.5. No, there is NOT a strong correlation because the correlation coefficient is -0.89, which is close to -1.arrow_forward
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