y 2 4 8 33 9. 22 11 23 13 24 28 32 17 37 20 39 40 35 30 25 20 15- 10- it -5 -5+ 15 2 5 10 There seems to be an outlier. Enter as a point: a. (х, у) 3D %3D To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se = What y-value is the cutoff beyond which the point (8,33) would be considered an outlier? %3D C. The cutoff is y = 24 00 4578

y 2 4 8 33 9. 22 11 23 13 24 28 32 17 37 20 39 40 35 30 25 20 15- 10- it -5 -5+ 15 2 5 10 There seems to be an outlier. Enter as a point: a. (х, у) 3D %3D To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se = What y-value is the cutoff beyond which the point (8,33) would be considered an outlier? %3D C. The cutoff is y = 24 00 4578

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Find a value / such that the line y = 1+ 2t best fits the data (-1,-1), (0, 1.5), (1, 2), (2, 3). Enter your answer in decimal form and not as a fraction (ie. 0.2 not 1/5). Type your answer...
Find the equation of the line of best it from the data in the table. Round the slope and the y-intercept to the nearest hundredth. x0345 12 8269 12 O A y=0.53x+4.88 OB. y=0.63x+4.88 Oc. y=043x+4.98 O D. y=073x +4.98
1. y= 2x-1 5. -5 -5 y-intercept = %3D slope: %3D
A business analyst found a linear relationship between the predicted profit (in thousands of dollars) with the amount of employees hired (think of the units as per person). The resulting regression equation and coefficient of determination were found to be: ŷ = 10 + 4.5x R² = 72% a) Interpret the slope and y-intercept using the guidelines learned in class. b) Find the predicted profit when the you hire 5 employees. c) Suppose that the true profit when 5 employees are hired is $42 thousand dollars. Find the residual. d) What is the correlation coefficient? Round to three decimal places. e) What is the strength of the correlation coefficient?
L5Q3.
Consider the following regression equation: y = -3.9 + 7.2x What does 7.2 depict in the regression equation above? a) The direction of the line. b) The y-intercept. c) The point where x = 0. d) The y when x = 7.2.
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y = - 1.269x + 16,635.60. Complete parts (a) and (b) below. Produced, x Imported, y 5,718 5,612 5,409 5,228 5,128 5,006 O 9,106 9,631 10,000 10,140 10,133 10,059 5,759 9,318 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.)
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…
Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.
If the regression line showing the effect of education on income has a slope of 1000. a) the variables are not related b) the Y intercept would be 1.00 c) every change in education increases income d) every year of education increases income by 1000
Statistics professor wants to use the number of hours (x) a student studies for a statistics final exam to predict the final exam score (y). A regression model was fit based on data collected from a class during the previous semester, with the following results: (y hat): y = 35.0 + 3X What is the slope? a. Yb. 35.0c. 3d. X
Does it pay to study for an exam? The number of hours studied, x, is compared to the exam grade received, y. 1 80 1 95 6 65 X y 1 80 85 (a) Find the equation for the line of best fit. (Round your intercept to two decimal places and your slope to three decimal places.) ŷ = X (b) Draw the line of best fit on the scatter diagram of these data. (Do this on paper. Your instructor may ask you to turn in this work.) (c) Based on what you see in your answers to parts (a) and (b), does it pay to study for an exam? O Yes, there is a strong relationship in the data. O No, there is not a strong relationship in the data.