Question

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: 758, 621, 518, 510, 492, 483 Stories, y: 51, 47, 46, 41, 37, 35 a) x=498 feet (b) x=644 feet (c) x=315 feet (d) x=734 feet

Answer #1

a)

predicted value =15.172+0.049*498=39.57

b)

predicted value =15.172+0.049*644=46.73

c)

not meaningful as 315 falls outside the range of x values

d)predicted value =15.172+0.049*734=51.14

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= 772 628 518 508 496 483
Stories,...

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 x 764 625 520 510 492 484...

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
772
628
518
508
496...

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
768
628
518
511
491...

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...

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 Stories, y
768 52
628 48
518 ...

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
768
628
518
511
491...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
Calories, x Sodium, y
150 420
170 470...

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 has 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 shows the shoe size
and heights (in) for 6 men.
Shoe size, x
6.0
8.5
9.0
12.0
13.0
13.5
(a)
x=size
9.5
(b)
x=size
7.5
Height, y...

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 has 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 shows the shoe size
and heights? (in) for 6 men.
font size decreased by 1 font size increased by 1 Shoe size comma
x
6.0
9.5
10.0...

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