Number of fires x58 4784 62577269Number of acres burned y54438058536865Send data to ExcelThe correlation coefficient for the data is r=1 and a=D0,05. Should regression analysis be done?O The regression analysis should not be done.O The regression analysis should be done.Find the equation of the regression line.y'3Da+bxFind y' when x= 65.y'%3D

Answered: Image /qna-images/answer/5a3972ed-9b57-4e07-b557-6c0bc3bc51e1.jpg

Answered: Number of fires x 58 47 84 62 57 72 69…

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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Two variable are found to have a strong negative linear correlation. Pick the regression equation that best fits this scenario. Oŷ = 0.32x 30 Oy = 0.82x - 30 Oy y = -0.32x + 30 -0.82x + 30
Terminology Using the lengths (in.), chest sizes (in.), and weights (lb) of bears from Data Set 9 “Bear Measurements’’ in Appendix B, we get this regression equation: Weight = −274 + 0.426 Length +12.1 Chest Size. Identify the response and predictor variables.
Two variable are found to have a strong negative linear correlation. Pick the regression equation that best fits this scenario. y=0.82x−28 ˆy=0.32x−28 y= -0.82x+28 ˆy= -0.32x+28
x = number of traffic tickets y = Cost of auto insurance A test of linear correlation between traffic tickets and insurance cost produces a linear correlation coefficient of r = 0.705. Determine weather the regression line has a positive slope, or a negative slope
Two variables are defined, a regression equation is given, and one data point is given. Hgt = height in inches Age = age in years of a child Hgt = 24.5+2.78(Age) The data point is a child 12 years old who is 60 inches tall. X Your answer is incorrect. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = inches inches
13/
A regression coefficient is given Match the correct equation with answers given below Y =0.00114x + 2.53 Y=1.662x + 83.34 Y = -1.04x + 50.3 Y= -0.667x + 52.6
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
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Use StatKey or other technology to find the regression line to predict Y from X using the following data. Click here to access StatKey. Round your answers to three decimal places. ^ The regression equation is Y = i X 3 Y 1.5 5 2 7 6 3 + i 1 5.5 3.5 X.
In a fisheries researchers experiment the correlation between the number of eggs in tge nest and the number of viable (surviving ) eggs for a sample of nests is r=0.67 the equation of the regression line for number of viable eggs y versus number of eggs in the nest x is y =0.72x + 17.07 for a nest with 140 eggs what is the predicted number of viable eggs ?

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