Use the given equation of the least squares regressionline to predict the output when x is 5. Round the finalvalues to three places, if necessary.(2, 13), (4, 11), (5, 7)y = 17.143-1.857xFind the predicted output when x is 5:choose your answer...

The following information has been given: The estimated regression line is given as :…

Answered: Use the given equation of the least…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A set of n =25 pairs of scores (X and Y values) produces a regression equation of Ŷ = 3X – 6. Find the predicted Y value for each of the following X scores: 0 = 1 = 3 = -3 =
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The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
Consider the regression equation In Y = 4.37 +0.2X₁ +0.3X2- a. Predict the value of Y when X₁ = 8.5 and X₂ = 4.8. b. Interpret the meaning of the regression coefficients 100 b₁, and 100 b₂. a. The predicted value of Y is. (Type an integer or decimal rounded to two decimal places as needed.) b. Choose the correct answer below. OA. Holding constant the other variables, for every one percent increase in X, or X₂, the value of Y increases by b₁ or b2 units, respectively. OB. Holding constant the other variables, for every one unit increase in X, or X₂, the value of Y increases by b, or b2 percent, respectively. OC. For every decrease of one unit of In Y, holding bo constant, the estimated change in X, or X₂ is 100.b, or 100 b₂ units, respectively. OD. Holding constant the other variables, for every one unit increase in X, or X₂, the value of Y increases by 100 b₁ or 100 b2 percent, respectively. O E. Holding constant the other variables, for every one percent increase in X, or X₂, the…
Fourteen hikers were surveyed at Algonquin Park, and asked for how many days have you been hikingand far did your travel in that time? The equation for the linear regression line is y+3x + 10.3 where x is the number of days and y is the distance travelled. Estimate the number of whole days a hiker would need to travel 35KM? Number of days hiked 1 1 2 3 3 5 5 6 7 7 9 10 11 12 Distance Traveled (km) 12 17 18 19 21 23 25 23 30 31 37 39 41 52
follow the instructions and provide complete solution, graphs, and interpretations
The equation of the least-squares regression line is ý = 68.5 + 11.4x, where ý is the number of students enrolled and x is number of years the school has been The number of students enrolled at a school varies from year to year. For the first eight years the school is open, the number of students enrolled is recorded in the table shown. open. Which shows the residual plot? Students 92 Year 2. 94 100 104 80 4 60 113 131 40 7. 8. 147 176 20 -20 0. 2. 4. 8. Number of Years 3. 56
Suppose Ms. Carr is interested in the relationship between her students' 9th grade math final exam scores and the number of hours they spent studying during the year. She collects information for 15 ninth grade students and uses it to obtain the regression equation, where ?x is the number of hours spent studying during the year and ?̂ is the predicted final exam score. ?̂ =1.48?+75.64 The scatter plot displays her results. What is the predicted ?̂ value when a student spends 13 hours studying? Round your answer to one decimal place. Select the correct interpretation. The above predicted value of ?̂ is the predicted final math test score if a student studies 13 hours during the year. the predicted score of 13 out of 15 students. what any student will score on the final exam if they study at least 13 hours. the math final test score that 13 students beat.
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Use the given equation of the least squares regression line to predict the output when x is 5. Round the final values to three places, if necessary. (2, 13), (4, 11), (5, 7) y = 17.143-1.857x Find the predicted output when x is 5: choose your answer...