Question

A linear regression model takes the pressure level from a production process and uses this to...

A linear regression model takes the pressure level from a production process and uses this to predict product quality in advance of production. This model has already been fitted to the data, and the table below displays predicted values from the model along with the actual values.

Predicted Quality Y^ 57 45 64 41
Actual Quality Y 56 64 67 58

Based on the above information, the coefficient of determination is given by:

Homework Answers

Answer #1

Solution :

from given information:

S.No X (X-x̄) (X-x̄)2
1 57 5.25 27.5625
2 45 -6.75 45.5625
3 64 12.25 150.0625
4 41 -10.75 115.5625
average xbar =Σx/n 51.75 Σ(X-x̄)2= 338.75

SST =338.75

Y (y-ybar) (y-y^)^2
56 -5.25 27.5625
64 2.75 7.5625
67 5.75 33.0625
58 -3.25 10.5625
61.25 total 78.75

SSE =78.75

coefficient of determination =1-SSE/SST =1-78.75/338.75 = 0.7675

Let me know in the comment section if anything is not clear. I will reply ASAP!
If you liked the answer, please give a thumbs-up. This will be quite encouraging for me.Thank-you!

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
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
Following is a simple linear regression model: The following results were obtained from some statistical software....
Following is a simple linear regression model: The following results were obtained from some statistical software. R2 = 0.523 syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Parameter Estimate    Std. Error of Parameter Est. Intercept 0.519    0.132 Slope of X    -0.707 0.239 Questions: the correlation coefficient r between the x and y is? What is the meaning of R2? Show your work.
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 58 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 44 ​years? Best Actress 27 31 30 64 34 32 46 29 61 22 43 53 Best Actor 41 38...
Exercise 16.037 {Exercise 16.37} The following exercises require the use of a computer and software. Use...
Exercise 16.037 {Exercise 16.37} The following exercises require the use of a computer and software. Use a 5% significance level for all tests of hypotheses. Dataset: Income Food 53 188.24 47 304.89 59 304.99 44 283.99 87 316.21 56 263.32 62 315.87 60 201.52 70 295.5 85 318.53 63 278.78 57 254.34 59 253.79 64 310.97 45 215.79 62 248.34 63 299.66 55 220.72 77 319.58 52 280.96 72 259.73 64 254.5 68 181.99 54 256.8 63 258.54 57 203.91...
One of the biggest changes in higher education in recent years has been the growth of...
One of the biggest changes in higher education in recent years has been the growth of online universities. The Online Education Database is an independent organization whose mission is to build a comprehensive list of the top accredited online colleges. The following table shows the retention rate (%) and the graduation rate (%) for 29 online colleges. Retention Rate (%) Graduation Rate (%) 7 25 51 25 4 28 29 32 33 33 47 33 63 34 45 36 60...
Calories Carbs 780 55 420 34 520 45 290 33 600 47 480 35 290 30...
Calories Carbs 780 55 420 34 520 45 290 33 600 47 480 35 290 30 290 35 230 30 680 45 420 35 560 53 740 42 400 40 250 31 230 24 240 32 370 33 450 47 790 56 520 41 640 42 530 57 410 45 330 32 460 27 920 53 180 11 280 16 350 39 380 37 470 45 610 58 400 44 370 40 620 67 580 67 310 30 420 47...
Question 1 How is a residual calculated in a regression model? i.e. what is the meaning...
Question 1 How is a residual calculated in a regression model? i.e. what is the meaning of a residual? a)The difference between the actual value, y, and the fitted value, y-hat b)The difference between the fitted value, y-hat, and the mean, y-bar c)The difference between the actual value, y, and the mean, y-ba d)The square of the difference between the fitted value, y-hat, and the mean, y-bar Question 2 Larger values of r-squared imply that the observations are more closely...
The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage...
The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colonization behavior. One aspect of particular interest was whether y = colony density was related to x = rock surface area. The article contained a scatterplot and summary of a regression analysis. Here is representative data. x 50 71 55 50 33 58 79 26 y 175 1952 71 45 25 28 58 30 x 69...
You are a consultant who works for the Diligent Consulting Group. In this Case, you are...
You are a consultant who works for the Diligent Consulting Group. In this Case, you are engaged on a consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the factors that impact organic food expenditures. You opt to do this using linear regression analysis. Case Assignment Using Excel, generate regression estimates for the following model: Annual Amount Spent on Organic Food = α...
The table below gives the age and bone density for five randomly selected women. Using this...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 41 44...