Question

There is a correlation (r = .78) between time spent commuting to work (in minutes) and...

There is a correlation (r = .78) between time spent commuting to work (in minutes) and the level of distraction (measured as the number of times a person switches tasks) during the first hour after arriving at work.

a. In terms of the variables, how would you describe this relationship?
b. Is the relationship positive or negative?


The least squares regression line for the relationship between commuting time and distraction at work: Y’ = 0.075(x) + 2.57.
c. What is the predicted distraction score for someone whose commute is 40 minutes long?

Homework Answers

Answer #1

Solution:

X: commuting time

Y: distraction at work

The correlation r = 0.78

a) There is strong relationship between commuting time and distraction at work.

b) The sign of correlation is positive hence there is positive relationship between commuting time and distraction at work. That means as commuting time increases, distraction at work increases.

The least squares regression line,

Y’ = 0.075(x) + 2.57

c) If x = 40 minutes

Y’ = 0.075*40 + 2.57

Y' = 5.57

Hence, the predicted distraction score for someone whose commute is 40 minutes long = 5.57

Done

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The table shows data collected on the relationship between age (in years) and daily time spent...
The table shows data collected on the relationship between age (in years) and daily time spent on the phone. The line of best fit for the data is yˆ=−0.68x+95.6. Assume the line of best fit is significant and there is a strong linear relationship between the variables. Age (Years) 30405060 Minutes on the Phone 75696155 (a) According to the line of best fit, what would be the predicted number of daily minutes spent on the phone for a person who...
The following data represent the commute time​ (in minutes) x and a score on a​ well-being...
The following data represent the commute time​ (in minutes) x and a score on a​ well-being survey y. The equation of the​ least-squares regression line is ModifyingAbove y with caret equals negative 0.0522 x plus 69.3800 and the standard error of the estimate is 0.3295. Complete parts ​(a) through ​(e) below.    x 10 20 30 40 55 77 110    y 69.0 68.3 67.9 67.1 66.1 65.9 63.5 ​(a) Predict the mean​ well-being index composite score of all individuals whose commute...
A teacher is interested in the relationship between the time spent studying for an exam and...
A teacher is interested in the relationship between the time spent studying for an exam and exam score. The table lists scores for 5 students. The value of b0 = 67.91 and the value of b1 = 0.75 Hours studied 5 18 3 15 17 Exam score 63 87 79 72 82 . Step 3 of 6 : Calculate the Sum of Squares Regression (SSR). Round intermediate values and final answer to two decimal places
Applications I Consider the following data representing the total time (in hours) a student spent on...
Applications I Consider the following data representing the total time (in hours) a student spent on reviewing for the Stat final exam and the actual score on the final. The sample of 10 students was taken from a class and the following answers were reported. time score 0 23 4 30 5 32 7 50 8 45 10 55 12 60 15 70 18 80 20 100 Part 1: Use the formulas provided on the 3rd formula sheet to compute...
A researcher was interested in the relationship between an average daily time spent on social media...
A researcher was interested in the relationship between an average daily time spent on social media (i.e., X variable) and social anxiety (i.e., Y variable). The data collected on a sample of n = 82  undergraduate students produced the following results:        SSx= 49, SSY= 36, SP = 11, MX = 8, MY = 15. A. Is there a significant correlation between an average daily time spent on social media and social anxiety? Use 2-tailed test, p < .05 to answer this research...
What is the relationship between the amount of time statistics students study per week and their...
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 9 3 13 5 15 8 5 16 Score 80 75 91 75 93 78 82 91 Find the correlation coefficient: r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? μ r ρ  == 0 H1:H1: ? r ρ μ   ≠≠ 0 The p-value is:    (Round to four...
9. A lot of corn grows in Iowa. For several years, farmers have kept track of...
9. A lot of corn grows in Iowa. For several years, farmers have kept track of the amount of rainfall (in inches) and the amount of corn produced (in bushels per acre). A strong and linear relationship has been observed between these variables. When a regression equation is constructed in order to predict amount of corn produced based on rainfall, it is found that the equation has an intercept of 89.54 and a slope of 0.13. We can conclude from...
2.  An educational psychologist gathers data from a sample of college students.  He finds the correlation between grade...
2.  An educational psychologist gathers data from a sample of college students.  He finds the correlation between grade point average and class attendance to be 0.60, and he finds the correlation between grade point average and amount of time spent playing video games to be -0.60.    What can the educational psychologist conclude about these correlations? The correlation of r = 0.60 is stronger than the correlation of r = -0.60. The correlation of r = 0.60 is just as strong as the correlation...
1. For a pair of sample x- and y-values, what is the difference between the observed...
1. For a pair of sample x- and y-values, what is the difference between the observed value of y and the predicted value of y? a) An outlier b) The explanatory variable c) A residual d) The response variable 2. Which of the following statements is false: a) The correlation coefficient is unitless. b) A correlation coefficient of 0.62 suggests a stronger correlation than a correlation coefficient of -0.82. c) The correlation coefficient, r, is always between -1 and 1....
What tools could AA leaders have used to increase their awareness of internal and external issues?...
What tools could AA leaders have used to increase their awareness of internal and external issues? ???ALASKA AIRLINES: NAVIGATING CHANGE In the autumn of 2007, Alaska Airlines executives adjourned at the end of a long and stressful day in the midst of a multi-day strategic planning session. Most headed outside to relax, unwind and enjoy a bonfire on the shore of Semiahmoo Spit, outside the meeting venue in Blaine, a seaport town in northwest Washington state. Meanwhile, several members of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT