Homework Answers
Solution:
Answer: A. ŷ = -0.206*x + 2.097
Explanation:
Here, we have to find the regression equation for the dependent variable y based on the independent variable x. The regression output by using excel is given as below:
|
Regression Statistics |
||||||
|
Multiple R |
0.104367175 |
|||||
|
R Square |
0.010892507 |
|||||
|
Adjusted R Square |
-0.112745929 |
|||||
|
Standard Error |
6.305721308 |
|||||
|
Observations |
10 |
|||||
|
ANOVA |
||||||
|
df |
SS |
MS |
F |
Significance F |
||
|
Regression |
1 |
3.503030303 |
3.503030303 |
0.088099684 |
0.774167389 |
|
|
Residual |
8 |
318.0969697 |
39.76212121 |
|||
|
Total |
9 |
321.6 |
||||
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
|
|
Intercept |
2.096969697 |
2.024031471 |
1.036036112 |
0.330484045 |
-2.570455242 |
6.764394636 |
|
x |
-0.206060606 |
0.694237067 |
-0.296815909 |
0.774167389 |
-1.806974153 |
1.394852941 |
The regression equation is given as below:
ŷ = -0.206*x + 2.097
Add Answer to:
Find the equation of the regression line for the given data. Round values to the nearest thousandth. * -5 -3 4 1 -1...
This Question: 4 pts 2 of 5 (0 complete) This Quiz: 25 pts possible Find the...
This Question: 4 pts 2 of 5 (0 complete) This Quiz: 25 pts possible Find the equation of the regression line for the given data. Round values to the nearest thousandth. 0 2 3 - 4 -8 9 1-2 -6 -1 3 6 - 8 X 1 - 1 -2 -5 -3 - 10 у O A 9-0.552x + 2.097 OB. Y=0.522x-2.097 oc. = 2.097x + 0.552 OD. 9 -2.0978 -0.552
Use the given data to find the equation of the regression line. Round the final values...
Use the given data to find the equation of the regression line. Round the final values to three places, if necessary. (2. 13). (4. 11).(5,7) Oy=-3.79 +0.801X O y = 17.14 - 1.857x O 9=-2.79 +0.950x O 9 = -2.79 +0.897x
Use the given data to find the equation of the regression line. Round the final values...
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. ху 1 143 3116 5 100 7 98 990 O y^= 150.7 - 6.8x O y^= 140.4 - 6.2x O y^= - 140.4 - 6.2x O y^= - 150.7 + 6.8x
0 Use the given data to find the equation of the regression line. Examine the scatterplot...
0 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line X 9 9 12 9 12 13 6 4 11 6 6 6.99 12.56 6.96 8.03 8.99 5.89 5.39 853 621 5.98 Create a scatterplot of the data. Choose the correct graph below y 7.45 ОА OB oc OD. Ay 25 20 20 15 10 5 26 20- 15 10...
1) Find the regression equation for the given table below. (Round to the nearest tenth) (TYPE...
1) Find the regression equation for the given table below.
(Round to the nearest tenth) (TYPE THE ACTUAL REGRESSION EQUATION!)
(DO NOT TYPE ANY UNNECESSARY SPACES!) for example:
y=7.85+0.088x
Altitude | 3 |10 | 14| 22
|28 |31 |33
Temperature |57 |37 |24 |-5 | -30 |-41 |-54
2) Find the p-value if the following information is given below.
(Round to the nearest ten-thousandth)
Test Statistic z = 2.50
Claim is that p ≠ 2/3
∝ =0.05
3) Find the...
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 11 8 11 8 12 13 7 4 12 6 5 y 7.58 6.69 13.24 7.32 7.62 8.52 6.09 5.15 8.13 6.15 5.52 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.)
:s Question Help Use the given data to find the equation of the regression line. Examine...
:s Question Help Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line х 11 7.8 9 6.85 13 13.03 10 7.14 11 7.96 13 9.25 5 5.91 4 5.34 12 8.22 8 6.47 5 5.69 OA. OB. OC. OD AY AY 25- AN 25- 20 AY 25- 203 201 Q 25- 2012 15 10 15 10 o 15 10 o...
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 number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...
ce the given data to find the equation of the regression line. Fill out the table...
ce the given data to find the equation of the regression line. Fill out the table below and show how you calculate each value below. Round the final values of a and b to three decimal places, if necessary. 5) x 0 3 4 5 12 y 8 2 6 9 12 5) X-7 y-y (x-7)(y- 0 3 y 8 2 6 9 4 5 12 12 b=
Find the equation of the regression line for the given data. Then construct a scater plot...
Find the equation of the regression line for the given data. Then construct a scater plot of the data and draw the regression line (The pair of variubles have a significant comelation) Then use the regression equation to predict the vakue of y for each of the given x-values, if meaningul The table below shows the heights (in feet) and the number of shories of six notable buildings in a city 758 Height, K Stories, y 621 47 (a)490 feet...
This Question: 4 pts 2 of 5 (0 complete) This Quiz: 25 pts possible Find the equation of the regression line for the given data. Round values to the nearest thousandth. 0 2 3 - 4 -8 9 1-2 -6 -1 3 6 - 8 X 1 - 1 -2 -5 -3 - 10 у O A 9-0.552x + 2.097 OB. Y=0.522x-2.097 oc. = 2.097x + 0.552 OD. 9 -2.0978 -0.552
Use the given data to find the equation of the regression line. Round the final values to three places, if necessary. (2. 13). (4. 11).(5,7) Oy=-3.79 +0.801X O y = 17.14 - 1.857x O 9=-2.79 +0.950x O 9 = -2.79 +0.897x
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. ху 1 143 3116 5 100 7 98 990 O y^= 150.7 - 6.8x O y^= 140.4 - 6.2x O y^= - 140.4 - 6.2x O y^= - 150.7 + 6.8x
0 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line X 9 9 12 9 12 13 6 4 11 6 6 6.99 12.56 6.96 8.03 8.99 5.89 5.39 853 621 5.98 Create a scatterplot of the data. Choose the correct graph below y 7.45 ОА OB oc OD. Ay 25 20 20 15 10 5 26 20- 15 10...
1) Find the regression equation for the given table below.
(Round to the nearest tenth) (TYPE THE ACTUAL REGRESSION EQUATION!)
(DO NOT TYPE ANY UNNECESSARY SPACES!) for example:
y=7.85+0.088x
Altitude | 3 |10 | 14| 22
|28 |31 |33
Temperature |57 |37 |24 |-5 | -30 |-41 |-54
2) Find the p-value if the following information is given below.
(Round to the nearest ten-thousandth)
Test Statistic z = 2.50
Claim is that p ≠ 2/3
∝ =0.05
3) Find the...
:s Question Help Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line х 11 7.8 9 6.85 13 13.03 10 7.14 11 7.96 13 9.25 5 5.91 4 5.34 12 8.22 8 6.47 5 5.69 OA. OB. OC. OD AY AY 25- AN 25- 20 AY 25- 203 201 Q 25- 2012 15 10 15 10 o 15 10 o...
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 2 5 5 (a) x =...
ce the given data to find the equation of the regression line. Fill out the table below and show how you calculate each value below. Round the final values of a and b to three decimal places, if necessary. 5) x 0 3 4 5 12 y 8 2 6 9 12 5) X-7 y-y (x-7)(y- 0 3 y 8 2 6 9 4 5 12 12 b=
Find the equation of the regression line for the given data. Then construct a scater plot of the data and draw the regression line (The pair of variubles have a significant comelation) Then use the regression equation to predict the vakue of y for each of the given x-values, if meaningul The table below shows the heights (in feet) and the number of shories of six notable buildings in a city 758 Height, K Stories, y 621 47 (a)490 feet...
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