Question

Consider the following data on study time (x) and subsequent test score ( y). x 20...

  1. Consider the following data on study time (x) and subsequent test score ( y).

x 20 15 12 10 7 14  

y 100 85 75 72 64 80  

          Find the equation of the simple linear regression line for the data in question  

             

Calculate and interpret the coefficient of determination ( r2 ) for the data and

regression from the question











a) For the regression in the question , find the predicted test score for a

     student who studies for 12 hours





b) Is the calculation in a) an example of interpolation or extrapolation ?

      Why ?


Homework Answers

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
Consider the following data on study time (x) and subsequent test score ( y). x 20...
Consider the following data on study time (x) and subsequent test score ( y). x 20 15 12 10 7 14   y 100 85 75 72 64 80         Find the equation of the simple linear regression line for the data in question
11. The following table shows the class size and the average test score Class Size 15...
11. The following table shows the class size and the average test score Class Size 15 17 18 20 21 24 26 29 Average Test score 85 86 85 82 80 78 75 72 Calculate:                 Coefficient of correlation ( r )                 Coefficient of determination (r2)                 Slope of the regression line                 Intercept of the regression line                 Equation of the regression line                 Predicted value of test score for class size = 22
A random sample of 9 statistics students produced the following data, MTE Score, x FE Score,...
A random sample of 9 statistics students produced the following data, MTE Score, x FE Score, y 78 21 38 92 56 74 15 70 60 80 83 41 72 33 63 77 43 64 where x measures the mte score and y measures the fe score. What is the estimate of the y = a x + b regression intercept coefficient?
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...
The values given below shows the aptitude test scores, x, and the intelligence quotient (IQ), y,...
The values given below shows the aptitude test scores, x, and the intelligence quotient (IQ), y, for 9 people. Find the correlation coefficient using Pearson Product and interpret your result. (15 pts ) x : 68, 72, 65, 70, 62, 75, 78, 64, 69 y : 90, 85, 88, 100, 105, 98, 70, 65, 72
Participant Stress Level (X) Test Score (Y) 1 18 6 2 3 17 3 12 9...
Participant Stress Level (X) Test Score (Y) 1 18 6 2 3 17 3 12 9 4 8 22 5 15 7 6 7 11 What's the slope of this data (round to two decimal places)? What's the Y intercept (round to two decimal places)? What's the predicted test score for a stress level of 10 (round to two decimal places)? What's the error of participant 5's score (round to two decimal places)? What's the standard error of the estimate?...
The following data show the brand, price ($), and the overall score for 6 stereo headphones...
The following data show the brand, price ($), and the overall score for 6 stereo headphones that were tested by Consumer Reports. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 25.036 + 0.3x, where x = price ($) and y = overall score. Brand Price Score Bose 180 76 Scullcandy 150 71 Koss 85 61 Phillips/O'Neill...
Suppose the correlation between study time x and test score y is given by r =...
Suppose the correlation between study time x and test score y is given by r = .939. What does this tell us about the correlation between x and y? 0 We have 12 = .8817. What does this tell us about the connection between x and y (regression of y on x)?
Data Set: x y 0 4 2 2 2 0 5 -2 6 1 1. Find...
Data Set: x y 0 4 2 2 2 0 5 -2 6 1 1. Find intercept b0 2. Find slope B1 3. Find the best fitted linear regression equation 4.Graph observations 5.Graph the linear equation on the same plot 6. Find the coefficient of Determination r² 7. Find the linear correlation coefficient r 8.Interpret r (the correlation between x & y)
Predict a student’s GPA (y) based upon the number of hours studied per week (x). Hours/week...
Predict a student’s GPA (y) based upon the number of hours studied per week (x). Hours/week GPA 5 2.5 10 3.1 12 3.3 20 3.8 15 3.7 12 3.5 If you used the least-squares regression line to predict the GPA of a student who studied 40 hours per week that would be: a) residual b) interpolation c) extrapolation d) r2
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT