| Find data below which enumerates beers' various costs and critical scores. | |||||||
| Beer | Price | Score | |||||
| A | 5 | 56 | |||||
| B | 10 | 48 | |||||
| C | 15 | 65 | |||||
| D | 18 | 60 | |||||
| E | 20 | 80 | |||||
| F | 25 | 70 | |||||
| G | 30 | 61 | |||||
| H | 12 | 68 | |||||
| Plot the data. Which field do you choose as your independent variable? | |||||||
| Use the data to make a linear regression equation. What is the coefficient of correlation? | |||||||
| Use the t-test to determine whether the variables are independent or not. | |||||||
The plot is:

Critical scores is the independent variable.
The linear regression equation is:
y = 0.366 x - 6.353
R = 0.433
The hypothesis being tested is:
H0: β1 = 0
H1: β1 ≠ 0
The test statistic, t = 1.177
The p-value is 0.2836.
Since the p-value (0.2836) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that the variables are independent.
| r² | 0.188 | |||||
| r | 0.433 | |||||
| Std. Error | 7.933 | |||||
| n | 8 | |||||
| k | 1 | |||||
| Dep. Var. | Price | |||||
| ANOVA table | ||||||
| Source | SS | df | MS | F | p-value | |
| Regression | 87.2427 | 1 | 87.2427 | 1.39 | .2836 | |
| Residual | 377.6323 | 6 | 62.9387 | |||
| Total | 464.8750 | 7 | ||||
| Regression output | confidence interval | |||||
| variables | coefficients | std. error | t (df=6) | p-value | 95% lower | 95% upper |
| Intercept | -6.3531 | |||||
| Score | 0.3658 | 0.3107 | 1.177 | .2836 | -0.3944 | 1.1260 |
Find data below which enumerates beers' various costs and critical scores. Beer Price Score A 5...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the student spent participating in a GMU club or sport and working for pay outside of GMU was recorded. Values of 0 indicate the students either does not participate in a club or sport or does not work a job for pay. The goal of...
Run the regression of scores on a exam (Scores) on the three variables "Hours (worked)", "Beers (consumed)" and the dummy variable for "Male". Score Hours Beers M = 1 87 7 2 0 56 2 5 1 34 1 7 1 87 6 1 0 92 11 2 0 13 2 9 1 34 0 6 1 56 4 3 0 95 10 1 0 77 7 3 0 Which of the following statements is incorrect Select one: a. All...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...
The following data show the brand, price ($), and the overall score for 6 stereo headphones that were tested by Consumer Reports. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is = 24.881 + 0.301 x, where x = price ($) and y = overall score. Brand Price ($) Score Bose 180 75 Scullcandy 160 72 Koss 95 61...
Problem 1: Confidence Interval for Percentage of B’s. The data set “STAT 250 Final Exam Scores” contains a random sample of 269 STAT 250 students’ final exam scores (maximum of 80) collected over the past two years. Answer the following questions using this data set. a) What proportion of students in our sample earned B’s on the final exam? A letter grade of B is obtained with a score of between 64 and 71 inclusive. Hint: You can do this...
5. A group of 5 students scores on Exam 1 and Exam 2 in Math 1153 is recorded bellow: Вс Student 1 3 3 5 N 14 15 Exam 1 86 84 90 85 Exam 2 78 68 57 80 (a) Sketch the scatter plot for Exam 1 vs. Exam 2 scores and identify the form and direction of the association between them. FO CH Te (b) Calculate the correlation coefficient r and interpret its value in the context of...
Problem 8.4: Refer to Muscle Mass Problem 1.27. Second-order regression model (8.2) with independent normal error terms is expected to be appropriate. A. Fit regression model (8.2). Plot the fitted regression function and the data. Does the quadratic regression function appear to be a good fit here? Find R^2. B. Test whether or not there is regression relation; use α= .05. State the alternatives, decision rule and conclusion. C. Estimate the mean muscle mass for women aged 48...
please find the degrees of freedom,critical values, correlation
coefficient, and test statistic as well.
Homework: Section 9.1 Homework Save Score: 0 of 1 pt 7 of 8 (6 complete) HW Score: 67.86%, 8.14 of 12 pts 9.1.34 Assigned Media Question Help The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use...
The following data show the brand, price , and the overall score for 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 (lowest) to (highest). The estimated regression equation for these data is , where and . Brand Price Score Bose 180 75 Skullcandy 150 72 Koss 85 62 Phillips/O'Neill 70 56 Denon 60 30 JVC 55 35 Round your answers to three decimal...
For the two variables of interest: Create a scatter plot with Percent Time Asleep as the independent variable x and Longevity as the dependent variable y. The plot must include an informative title, along with correct labels for both axes. Include a plot of the least-squares equation (see #5 below). Calculate the correlation coefficient and the coefficient of determination. Identify any data points on the scatter diagram that appear to be influential. Use Cook's Distance > (4⁄√n) as the criterion...