Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram (a) R 0.90, (b) R 0.12, (c) R2 1 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory Explanatory osuodsa Response =
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- Enrique wishes to determine if there is a linear correlation between the age of a driver and the death rate for car crashes. The following table represents the age of a driver and the death rate of drivers for car crashes in the same age category per 100 Million Miles Driven. Use a significance level of a = 0.05. Do not round between calculation steps; only round final answers. Driver's Age (x) 17 21 30 32 35 36 47 63 74 Death Rate (y) 5.6 6.6 5.9 5.1 5 5.6 4.9 4.1 3.7 10 10 20 30 40 60 70 90 100 50 Driver Age 80 Death RateFootball coaches running their summer practices noticed that the players who weighed more typically had slower times for their 40-yard dash. What are the explanatory variable and response variable for this relationship? Explanatory variable: season Response variable: player weight Explanatory variable: season Response variable: player 40-yard-dash time Explanatory variable: player weight Response variable: player 40-yard-dash time Explanatory variable: player 40-yard-dash time Response variable: player weight2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.
- The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient. Score 70+ r= 60- (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. (b) Draw a scatter diagram of the data. Which…Statistics teacher realize that his studentS keep using cell phones during the class. Then he did some research and found out that people use cell phones for 7.2 hours per day on average in turkey, and usage time variability around that average is 2.0449 Then he decides to givean assignment of reading books as an alternative of cell phone usage in exchange of 50 extra credit to their statistics exam. After the exam, He collected the data of cell phone usage time from his 127 students and calculated that average cell phone usage time drops to 6.8 hours per day. Under the assumption that probability of uncontrolled factors leading you the wrong statistical decision is five percent, conduct the statistical analysis to decide whether decrease in the cell phone usage time is real or it happens just because of the random chance and interpret the results.Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
- Doing my last lab question just need some help!What is the coefficient of correlation given this data: X = 61, 62, 95, 71, 49 Y = 32, 47, 107, 77, 41 Please format to 2 decimal places.Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axis are the same for each scatter diagram. (a) r= 0.523, (b)r=1, (c) r=0.787 (a) Scatter diagram (b) Scatter diagram Explanatory (c) Scatter diagram II Explanatory .......... Explanatory Click to select your answer(s). 9ME acer
- A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110The correlation between amount of sleep students get the night before the test and their performance shows that the less sleep they get the lower their grades. This would be an example of Group of answer choices no correlation a negative correlation a spurious correlation a positive correlationPlease anwser using SPSS!
