Given the following information regarding a dependent variable (Y) and an independent variable (X) Y X 6 2 8 1 4 4 2 3 1 5 A. Develop the least squared error estimated regression equation. B. Calculator r ^ 2, the coeffi
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Given the following information regarding a dependent variable (Y) and an independent variable (X)
Y X
6 2
8 1
4 4
2 3
1 5
A. Develop the least squared error estimated regression equation.
B. Calculator r ^ 2, the coefficient of determination, and r, the coefficient of
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- The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
- Given are five observations collected in a regression study on two variables. xi 2 6 9 13 20 yi 9 18 8 25 21 (b) Develop the estimated regression equation for these data. ŷ = (c) Use the estimated regression equation to predict the value of y when x = 13.Given are five observations for two variables, x and y. xi 3 12 6 20 14 yi 55 45 50 15 20 #1) Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. y= #2) Use the estimated regression equation to predict the value of y when x = 13.Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 6 6 11 13 Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. ŷ = (e) Use the estimated regression equation to predict the value of y when x = 2.
- Given are five observations for two variables, x and y. x 5 11 8 23 18 y 50 47 50 10 23 Develop the estimated regression equation by computing the values of b0 and b1 using equations: (Enter negative values as negative figure) y=___________+___________x (to 2 decimals) Use the estimated regression equation to predict the value of y when x=14. y=______________(to 2 decimalsGiven are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 6 5 9 14 Develop the estimated regression equation by computing the the slope and the y intercept of the estimated regression line (to 1 decimal). y^= + x Use the estimated regression equation to predict the value of y when x = 5 (to 1 decimal).y^ =Given are five observations for two variables, x and y.xi 1 2 3 4 5yi 4 5 5 10 14 Which of the following scatter diagrams accurately represents the data?a. b. c. a. Develop the estimated regression equation by computing the slope and the y intercept of the estimated regression line (to 1 decimal).ŷ = + xb. Use the estimated regression equation to predict the value of y when x = 4 (to 1 decimal).ŷ =
- Given are five observations for two variables, x and y. x 1 2 3 4 5 y 4 7 7 11 13 Develop the estimated regression equation by computing the values of b0 and b1 (to 1 decimals).y=___________ + ___________xUse the estimated regression equation to predict the value of y when x=3 (to 1 decimals). y=___________Consider the following data for two variables, x and y. x 9 32 18 15 26 y 9 19 20 15 22 Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to two decimal places and b1 to three decimal places and b2 to four decimal places.) ŷ = (c) Use the model from part (b) to predict the value of y when x = 20. (Round your answer to two decimal places.)Given are five observations for two variables, x and y.x 3 12 6 20 14y 65 50 65 15 18a. Develop a scatter diagram for these data.b. Compute correlation between x and y variable.c. Develop the estimated regression equation by computing b0 and b1
