O c. C is called the slope of the regression lineO d. Dis called the slope of the regression lineIn a two-tailed test about the population mean, where thepopulation standard deviation is known, a sample of size 40was taken. Use 5% significance. Find the critical value (s).Select one:O a. Both-2.023 and 2.023O b. Both-1.96 and 1.96O c. Only 1.685O d. Only 1.645O e. Only -1.685O f. Only-1.645Next pagehpfnof12&V00

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Answered: O c. C is called the slope of the…

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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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.
APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?
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 50 inches. Is the result close to the actual weight of 417 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) FClick the icon to view the critical values of the Pearson correlation coefficient r. 49 51 53 61 57 45 D 368 382 420 481 457 287 What is the regression equation? y=+x (Round to one decimal place as needed.) Critical Values of the Pearson Correlation Coefficient r n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 n Critical Values of the Pearson Correlation Coefficient r α=0.05 α = 0.01 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 α = 0.05 Print 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735…
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Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= 0.495 Calculate the coefficient of determination. (Round to three decimal places as needed.) What does this tell you about the explained variation of the data about the regression line? % of the variation can be explained by the regression line. (Round to one decimal place as needed.) About the unexplained variation? % of the variation is unexplained and is due to other factors or to sampling error. (Round to one decimal place as needed.)
Which one of the following numbers for the standard error of estimate would indicate the best regression fit? 100 50 1000 10
A student who took Stat 2 last semester learns that their overall course score was at the 85th percentile. Assuming that a histogram of all the Stat 2 course scores from last semester follows the normal curve, this means that this student had a score that was how many SDs above the average score? Choose the answer that is closest. Group of answer choices 1.15 1.05 1.10 1.0 PreviousNext
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 28.8 51.5 11.8 54.7 2.9 45.5 18.5 45.3 18.5 52.4 29 62.9 2.9 56.8 24.9 51.3 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)%Based on the data, calculate the regression line (each value to three decimal places)ˆyy^ = x + Predict what value (on average) for the response variable will be obtained from a value of 14.8 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.What is the predicted response value? (Report answer accurate to one decimal place.)ˆyy^ =
The slope D of the sample regression line provides a measure of O1.the change in the population value of the dependent variable for every unit change In the Independent varlable. O 2. the change in the population average value of the dependent varlable for overy unit change in the independent varlable, 03.the change In the population value of the independent varlable for every unit change in the dependent varlable. 04.the change in the population average value of the independent variable for every unit change in the dependent varlablo. O 5.the change in the estimated population value of the dependent variable for every unit change in the Independent varlable. O 6.the change in the estimated population average value of the dependent variable for every unit change in the independent varlable. O 7. the change in the estimated population value of the independent variable for every unit change in the dependent variable, O 8. the change in the estimated population average value of the…
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Run a regression analysis on the following bivariate set of data with y as the response variable. x y 85.1 61.8 40.6 -11.4 36.9 -15.1 72.5 47.9 62 41.8 74.2 19.4 91.3 55.4 57.7 -2.1 84.5 52.1 94.2 55.2 87.8 83.3 51.3 7.1 58.4 -4.9 72.3 16.7 72.6 35.4 71.3 19.2 64.4 16.7 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 72.4 on the response variable.What is the predicted explanatory value?x =
APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?

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