Question

A psychologist wants to determine if there is a linear relationship between the number of hours...

A psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Determine the equation of the regression line and graph the line on a scatter plot. Hours without Sleep, x Number of Mistakes, y

x y

32 6

38 8

48 13

24 5

46 7

35 6

30 5

34 8

42 12

Now, pretend in this problem that you did not reject the null hypothesis and you could no create a regression line. What value would you predict for the number of mistakes if your hours without sleep was 40.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Here we have data:

X Y
32 6
38 8
48 13
24 5
46 7
35 6
30 5
34 8
42 12

Here we are using Excel for calculation:

Scatter plot:

14 13 y 0.2885x-2.7677 R2 0.594 12 11 10 9 8 7 6 5 4 40 20 25 30 35 45 50

Regression equation:

Y = -2.7677 + 0.2885X

X = 40

Y = -2.7677 + 0.2885 * 40

= 8.7723

Add a comment
Know the answer?
Add Answer to:
A psychologist wants to determine if there is a linear relationship between the number of hours...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Psychologist wants to determine if there is a linear relationship between the number of hours a...

    Psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Hours without sleep 32 38 48 24 46 35 30 34 42 Number of Mistakes 6 8 13 5 7 6 5 8 12 Hours without sleep=x, Number of mistakes=y 1. Find the equation of regression line. Round slope and y-intercept to nearest thousandth.  ...

  • Psychologist wants to determine if there is a linear relationship between the number of hours a...

    Psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Hours without sleep 32 38 48 24 46 35 30 34 42 Number of Mistakes 6 8 13 5 7 6 5 8 12 Hours without sleep=x, Number of mistakes=y (a) Find the equation of regression line. Round slope and y-intercept to nearest thousandth.  ...

  • SECTION 9.2 In Exercises 9-12, find the equation of the regression line for the data. Then...

    SECTION 9.2 In Exercises 9-12, find the equation of the regression line for the 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 .r-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. If convenient, use technology. of milk produced 11. The ages (in...

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=a+bx a=39.942 b=-1.321 r2=0.519841 r=-0.721 Use this to predict the number of situps a person who watches 6 hours of TV can do (to one decimal place) Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and...

  • A professor wants to determine the relationship between the number of hours of sleep students get...

    A professor wants to determine the relationship between the number of hours of sleep students get during the week and the GPA of students in the Fall of 2019. Based on the data, decide in the correlation is significant at alpha = 0.05. x y xy x^2 y^2 6 3.2 19.2 36 10.24 4 3.4 13.6 16 11.56 5 4.0 20 25 16 6 2.7 16.2 36 7.29 5 3.0 15 25 9 7 3.8 26.6 49 14.44 ∑x =...

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.179 b=22.006 r2=0.595984 r=-0.772 Use this to predict the number of situps a person who watches 5.5 hours of TV can do (to one decimal place)

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.867 b=23.962 r2=0.702244 r=-0.838 Use this to predict the number of situps a person who watches 9.5 hours of TV can do (to one decimal place)

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.263 b=21.291 r2=0.5776 r=-0.76 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.622 b=30.666 r2=0.868624 r=-0.932 Use this to predict the number of situps a person who watches 6.5 hours of TV can do (to one decimal place)

  • A regression was run to determine if there is a relationship between hours of TV watched...

    A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.193 b=28.861 r2=0.763876 r=-0.874 Use this to predict the number of situps a person who watches 3.5 hours of TV can do (to one decimal place)

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT