Below are the results of applying Excel's linest function to a set of experimental data. It outputs 6values in the following arrangement, with 5 values of our concern indicated. What does the boldfaced value of 0.1 represent?8.61.70.10.20.9The standard error of the y-intercept.O The standard error of the slope.The best estimate of the slope.O The coefficient of determination.

Given The output of linest function in excel for given data is shown below

Answered: Below are the results of applying…

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 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.)
Which of the following statements is true? 1. The R (ie., R-squared) tells us the percentage of the variation in the dependent variable (cost) that is explained by variation in the independent variable (activity) II The R (e. R-squared) varies from 0% to 100%, and the lower the percentage, the better the fit of the data to a straight line. ONeither statement is true. Only statement I is true. Only statement II is tru. Both statements are true.
Data were gathered and displayed on the scatter plot. 15 y 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Which of the following is the best equation to model the data? ŷ = 11.5(0.81)* Oŷ = 8.1(0.115)* Oŷ= -0.115x+8.1 Oŷ=-0.81x+11.5
need the correct solves asap plz
Which is correct?
A soda company is monitoring the number of cases of soda it produces as a function of time. A manager checked the line several times a day for a week. She then graphed the combined data. Assume that we should see a linear (best straight line) relationship between time and production. What is the best estimate of the number of cases that will be produced in 1 hr on a typical day? 8. 7 1 0.5 1.5 2 2.5 Time in hours Select one: а. 1 b. 2 C. 2.5 d. 4.5 е. 7 Cases of soda produced
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 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)
Which of the following is not one of the uses of a scatter plot and regression line a. to estimate the average y at a specific value of x. b. All three are uses of the scatterplot and regression line c. to determine if a change in x causes a change in y d. to predict y at a specific value of x.
Which of the slopes matches best with the slope of the data in the scatter plot? would it be m = 3/8?, m = 8/3?, m = - 3/8? or would it be m = - 8/3???
The model Yị = Bo + B, In X;+e; was estimated using E-Views and the results are shown in the following Table. What is the value of the slope at X = 10 Dependent variable: Y Included observations: 10 Variable Coefficient Std. Error t-Statistic Prob. 53.26667 5.770449 9.230940 0.0000 In (x) 0.929992 0.0075 -3.303030 R-squared Mean dependent var 35.10000 Adjusted R-squared.. S.D. dependent var 12.78410 S.E. of regression... Residuals sum square ..... ...... F-statistic Prob(F-statistic) 0.007491
Q1
Consider the following data: 4 6 8 12 16 25 Which of the following statements is correct? X Y Select one: a. The slope is -3.24. 9 30 b. The intercept is 3.54. c. When X is 10, then the estimated sales will be 25.83 Od. Y = 3.54-3.24X e. Coefficient of determination is 0.9849. 19 39

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