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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city.
Height comma xHeight, x |
764 |
625 |
520 |
510 |
492 |
484 |
(a)x=498 feet | (b)x=650 feet | |
---|---|---|---|---|---|---|---|---|---|
Stories, y |
55 |
47 |
45 |
41 |
39 |
38 |
(c)=318f eet | (d)x=727 feet |
Find the regression equation.
y=_x+(__) (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
Create a plotter graph from the information above.
(a) Predict the value of y for x=498. Choose the correct answer below.
A. 41, B. 53, C. 49, D. not meaningfu
(b) Predict the value of y for x=650. Choose the correct answer below.
A. 31, B. 49, C. 41, D. not meaningful
(c) Predict the value of y for x=318. Choose the correct answer below.
A. 31, B. 49, C. 53, D. not meaningful
d) Predict the value of y for x=727. Choose the correct answer below.
A. 53 B.41 C.31 D. not meaningful
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city Height, x 768 628 518 511 491 478 (a)...
Find the equation of the regression line for the given data. Then construct a scatter plot of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of Height, Stories, y data and draw the regression line. (The pair of variables have a signiicant correlation.) Then use the regression equation to predict the value of y for each of the sb. notable buildings in a city 775 53 619 47 519 46...
519 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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful The table below shows the heights (in feet) and the number of stories of six notable buildings in a city Height, 778 621 510 494 473 (a) x...
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 pair of variaties have a significant correlation) Then use the regression equation to predict the value of yo each of the given x-values, if meaningful. The table below shows the height in feet) and the number of stories of six notable buildings in a city Heights 772 5110 503 483 Stories 51 (a)x= 501 foot...
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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 pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...
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