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. Commute Time Well-Beingo (in minutes) Score 4 69.5 16 68.1 E Click the icon to view the table of critical values of the correlation coefficient. 26 67.8 34 67.4 46 66.6 65 65.3 103 63.2 (a) Which variable is likely the explanatory variable and which is the response variable? O A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. O B. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. O C. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. O D. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. (b) Draw a scatter diagram of the data. Which of the following represents the data? O A. OB. Oc. D. 110- 70- 110- 70- 604 70 110 Time (min) 110 60 Time (min) 60 70 Score Score (c) Determine the linear correlation coefficient between commute time and well-being score. (Round to three decimal places as needed.)
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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