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 |
774774 |
625625 |
521521 |
508508 |
497497 |
477477 |
|
(a)
xequals=500500 feet |
(b)
xequals=648648 feet |
|||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stories, y |
5151 |
4747 |
4444 |
4141 |
3939 |
3737 |
(c)
xequals=802802 feet |
(d)
xequals=731731 feet |
Find the regression equation.
ModifyingAbove y with caretyequals=nothing xplus+left parenthesis nothing right parenthesis
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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