Use regression to find the line of best fit and the correlation caefficient.C.Round your answers to two decimal places.T3=Numberd.What is the slope of the regression equation? What does it mean?The slope of the regression equation isNumberand it means that per capita incomeCick for Lilby Numberfor each year.e.Use the line af best fit to estimate PCINC for 1900, and for 1970.Round your answers to the nearest integer (dallar).When the year is 1900, ý = NumberWhen the year is 1970, ýNumber The following table shows economic development measured in per capita income PCINC.YearPCINCYearPCINC187034519201,044188049519301, 163189059019401, 361190074719501, 826191092119602, 138Table 12.7What are the independent and dependent variables?The independent variable is theand the dependent variable is theb. Which of the following is the correct scatterplat for the data above?2500a 15001000-A 500-188019001920194019601980X- year250012000a 15001000-! 5oot04188019001920194019601980X- year2500-2000-15001000500-188019001920X-year194019602500是20004a 1500-1000-50188019001920194019601980X- yearauco undeo ad-auco ndeo ad- d

Answered: Image /qna-images/answer/29f87f5e-e152-4bde-abc8-56abc52309a5.jpg

Answered: C. Use regression to find the line of…

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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Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. A. Find the equation of the regression line. y=+ x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.)
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.
Please solve the following problem to fill in the blanks
A set of X and Y scores has SSX = 26, SSY = 10, and SP = 42. What is the slope for the regression equation? Round your answer to 2 decimal places.
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. The table shows the shoe size and heights (in.) for 6 men. Shoe size, x Height, y 7.5 66.5 Find the regression equation. ŷ=x+ y (Round to three decimal places as needed.) 9.5 69.5 10.5 70.5 11.0 72.5 13.0 72.5 13.5 73.5
Please help me with this question.
a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,8), use the pairs of values for the remaining 9 points and find the equation of the regression line.. c. Compare the results from parts (a) and (b). C a. What is the equation of the regression line for all 10 points? ŷ=+x (Round to three decimal places as needed.) b. What is the equation of the regression line for the set of 9 points? y = (Round to three decimal places as needed.) y= c. Choose the correct description of the results below. OA. The regression line changes, but the change is small. OB. The regression line is very similar in both cases. OC. There is no regression line for the second case because the data are in a pattern. On The removal of the point has a significant impact on the regression line 10 8- 0 ++++++ 0 2 4 6 8 10. OON
Hello I need help answering all the parts to problem d. Thank you
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 = X 6 Y 3.5 10 8 + 4 2 14 12 12 8.5 X.
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= - 0.884 Calculate the coefficient of determination. (Round to three decimal places as needed.)
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. A horizontal table lists x-values in the first row and y-values in the second row. The x-values are as follows from left to right: 6, 8, 20, 28, and 36. The y-values are as follows from left to right: 2, 4, 13, 20, and 30. A. y with caret= −2.79 + 0.897x B. y with caret = −3.79 + 0.801x C. y with caret= −2.79 + 0.950x D. y with caret = −3.79 + 0.897x
r = -0.579 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.)

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