C.d.e.Use regression to find the line of best fit and the correlation coefficient.Round your answers to two decimal places.ýaT= Number√a|aksin (a)What is the slope of the regression equation? What does it mean?The slope of the regression equation is NumberClick for Listby Numberfor each year.8Numberand it means that per capita incomeUse the line of best fit to estimate PCINC for 1900, and for 1970.Round your answers to the nearest integer (dollar).When the year is 1900, y:When the year is 1970, y Number The following table shows economic development measured in per capita income, PCINC.a.Year18701880189019001910PCINC334507591753923Year19201930194019501960What are the independent and dependent variables?The independent variable is the Click for ListClick for ListPCINC1,0451,1661,3601,8282,141and the dependent variable is the

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Answered: d. e. Use regression to find the line…

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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Residuals are calculated as Y – Ŷ. Which person has a residual of -2.16? Hint: the slope and intercept of the regression equation for these data are also given. Person X Y Aaliyah 105 50 Alfred 150 40 Andrew 188 30 Amy 201 20 Ahmed 254 5 b (slope) a (intercept) -0.31 84.47 Group of answer choices Ahmed Aaliyah Andrew Alfred Amy
help with questions 1 and 2 please. 1. The regression equation is y=_____+_____x. (Round to one decimal place as needed.) 2.Given that the systolic blood pressure in the right arm is 95mm Hg, the best predicted systolic blood pressure in the left arm is _____mm Hg. (Round to one decimal place as needed.)
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
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Find the slope (b1) for the regression equation for the following values. Round to 3 decimal places. Define Variables xi yi 33 180 25 170 50 200 65 186 57 160 27 165
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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 = X 6 Y 3.5 10 8 + 4 2 14 12 12 8.5 X.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 59 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years? a. Find the equation of the regression line. y= (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.) b. The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 59 years is years old. (Round to the nearest whole number as needed.)
esc You may need to use the appropriate technology to answer this question. The following is part of the results of a regression analysis involving sales (y in millions of dollars), advertising expenditures (x, in thousands of dollars), and number of salespeople (x₂) for a corporation. The regression was performed on a sample of 10 observations. f1 Constant ? Ho X1 H x2 (a) Write the regression equation. ŷ = Coefficients -11.320 0.788 0.151 12 (b) Interpret the coefficients of the estimated regression equation found in part (a). (Give your answers in dollars.) As advertising increases by 1 unit ($1,000), sales are expected to increase by $ increase by $ when advertising is held constant. Standard Error (c) At a = 0.05, test for the significance of the coefficient of advertising. State the null and alternative hypotheses. (Enter != for # as needed.) 20.452 0.302 0.218 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to…
Suppose Ms. Carr is interested in the relationship between her students' 9th grade math final exam scores and the number of hours they spent studying during the year. She collects information for 15 ninth grade students and uses it to obtain the regression equation, where ?x is the number of hours spent studying during the year and ?̂ is the predicted final exam score. ?̂ =1.48?+75.64 The scatter plot displays her results. What is the predicted ?̂ value when a student spends 13 hours studying? Round your answer to one decimal place. Select the correct interpretation. The above predicted value of ?̂ is the predicted final math test score if a student studies 13 hours during the year. the predicted score of 13 out of 15 students. what any student will score on the final exam if they study at least 13 hours. the math final test score that 13 students beat.
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.)
For the data in the table, find the regression equation. Round the slope and y-intercept two decimals. y 3 12 13 16 10 29 12 32 15 35 18 37 19 39 20 40 Use your equation to predict y when x = 21 y = Submit Question 467 O258098

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