Find the equation of the regre

   
 
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 number of hours 6 students spent for a test and their scores on that test are shown below.
 
Hours spent studying, x
1
1
3
4
4
6
 
​(a)

x=2

hours

​(b)

x=3.5

hours

Test​ score, y
40
45
50
47
61
69
 
​(c)

x=13

hours

​(d)

x=4.5

hours

Find the equation of the regre

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
766
620
520
508
494
484
  
​(a)

x=501

feet

​(b)

x=648

feet

​Stories, y
51
46
45
43
37
35
 
​(c)

x=310

feet

​(d)

x=736

feet

 

(1)Find the regression equation.
 
y(^)=____ x+ (___)
 
(2) Predict the value of y for x=501 
(3) Predict the value of y for x=648
(4) Predict the value of y for x=310
(5) Predcit the value of y for x=736

Find the equation of the regre

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
160
170
130
120
70
180
 
​(a)

x=180

calories

​(b)

x=90

calories

​Sodium, y
430
480
320
380
280
510
 
​(c)

x=150

calories

​(d)

x=200

calories

Find the regression equation.
 
y=nothingx+​(nothing​)
​(Round to three decimal places as​ needed.)
Choose the correct graph below.
 
 

A.

 
 
 
 

02000560CaloriesSodium (mg)

 
  •  
  •  
  •  

A scatterplot has a horizontal axis labeled “Calories” from 0 to 200 in increments of 20 and a vertical axis labeled “Sodium (in milligrams)” from 0 to 560 in increments of 40. The following points are plotted: 10 units to the right of and 220 units above the origin; 20 units to the right of and 120 units above the origin; 30 units to the right of and 280 units above the origin; 40 units to the right of and 330 units above the origin; 50 units to the right of and 180 units above the origin; 60 units to the right of and 210 units above the origin. A line falls from left to right and passes through the points (0, 266) and (130, 0). All coordinates are approximate.

 

B.

 
 
 
 

02000560CaloriesSodium (mg)

 
  •  
  •  
  •  

A scatterplot has a horizontal axis labeled “Calories” from 0 to 200 in increments of 20 and a vertical axis labeled “Sodium (in milligrams)” from 0 to 560 in increments of 40. The following points are plotted: 50 units to the right of and 180 units above the origin; 100 units to the right of and 280 units above the origin; 110 units to the right of and 80 units above the origin; 130 units to the right of and 330 units above the origin; 130 units to the right of and 380 units above the origin; 140 units to the right of and 410 units above the origin. A line falls from left to right and passes through the points (0, 466) and (227, 0). All coordinates are approximate.

 

C.

 
 
 
 

02000560CaloriesSodium (mg)

 
  •  
  •  
  •  

A scatterplot has a horizontal axis labeled “Calories” from 0 to 200 in increments of 20 and a vertical axis labeled “Sodium (in milligrams)” from 0 to 560 in increments of 40. The following points are plotted: 70 units to the right of and 280 units above the origin; 120 units to the right of and 380 units above the origin; 130 units to the right of and 320 units above the origin; 160 units to the right of and 430 units above the origin; 170 units to the right of and 480 units above the origin; 180 units to the right of and 510 units above the origin. A line rises from left to right and passes through the points (50, 219) and (100, 321). All coordinates are approximate.

 

D.

 
 
 
 

02000560CaloriesSodium (mg)

 
  •  
  •  
  •  

A scatterplot has a horizontal axis labeled “Calories” from 0 to 200 in increments of 20 and a vertical axis labeled “Sodium (in milligrams)” from 0 to 560 in increments of 40. The following points are plotted: 80 units to the right of and 330 units above the origin; 100 units to the right of and 300 units above the origin; 130 units to the right of and 430 units above the origin; 140 units to the right of and 370 units above the origin; 170 units to the right of and 460 units above the origin; 80 units to the right of and 330 units above the origin. A line rises from left to right and passes through the points (50, 225) and (100, 327). All coordinates are approximate.

​(a) Predict the value of y for

x=180.

Choose the correct answer below.

 
 

A.

423.897
 

B.

485.457
 

C.

526.497
 

D.

not meaningful
​(b) Predict the value of y for

x=90.

Choose the correct answer below.

 
 

A.

300.777
 

B.

423.897
 

C.

526.497
 

D.

not meaningful
​(c) Predict the value of y for

x=150.

Choose the correct answer below.

 
 

A.

300.777
 

B.

485.457
 

C.

423.897
 

D.

not meaningful
​(d) Predict the value of y for

x=200.

Choose the correct answer below.

 
 

A.

526.497
 

B.

300.777
 

C.

485.457
 

D.

not meaningful

Find the equation of the regre

9.2.2Find 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 number of hours 6 students spent for a test and their scores on that test are shown below.
 
Hours spent studying, x
0
2
2
3
5
5
 
​(a)

x=4

hours

​(b)

x=2.5

hours

Test​ score, y
38
45
52
49
64
73
 
​(c)

x=15

hours

​(d)

x=3.5

hours

Find the regression equation.
 
y=x+

Find the equation of the regre

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.

(a) Find the regression equation.

(b) Predict the value of y for x = 639.

(c) Predict the value of y for x = 345.

(d) Predict the value of y for x = 727.

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