Construct a scatter plot for the given data. Determine whether there is positive, negative, or no...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
For the following data (a) display the data in a scatter plot, (b) calculate the sample correlation coefficient r, and (c) make a conclusion about the type of correlation. Use technology. The earnings per share (in dollars) and the dividends per share (in dollars) for six medical supplies companies in a recent year are shown in the data set below. a) choose the correct scatter plot. Use technology. (b) The correlation coefficient r is _____ (Round to three decimal places...
For the following data (a) display the data in a scatter plot, (b) calculate the sample correlation coefficient r, and (c) make a conclusion about the type of correlation. Use technology. The earnings per share (in dollars) and the dividends per share (in dollars) for six medical supplies companies in a recent year are shown in the data set below. a) choose the correct scatter plot. Use technology. (b) The correlation coefficient r is _____ (Round to three decimal places...
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1. 2 3 4 5 6 Vocabulary size, y 500 450 1350 1750 2300 2300 (a) Choose the correct scatter plot below. A. B. c. D. 2350+.. 7 2350- 2350- Vocabulary Age Vocabulary Vocabulary ....
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. (a)x=180 (b)x=90 (c)x=120 (d)x=50 Calories, x Sodium, y 150 ...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables has a significant correlation.) Then use the regressiorn equation to predict the value of y for each of the given x-values, if meaningful. The table shows the shoe size and heights (in) for 6 men Shoe size: x-T8.5 110T15|130|135 (a) x=size 10 0 (b)x-size 10.5 3.5 745 725(c)x-s size 16.0 (d)x- size...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying comma xHours spent studying, x 0 2...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 150 170 130 120 90 180 (a)...
Describe the relationship between the data in the scatter plot.5101520253035404551015202530354045positive linearnegative linearnonlinearno relationship
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...