Question

In: Statistics and Probability

Consider the following data for a dependent variable and two independent variables, and . x1= 30...

Consider the following data for a dependent variable and two independent variables, and . x1= 30 46 24 50 41 51 74 36 60 77. x2 = 13 11 17 17 6 20 8 12 13 16. y = 95 109 112 178 94 176 170 117 142 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating to y to x1 . Predict y if x1=35 . b. Develop an estimated regression equation relating y to x2 . Predict y if x2=25 . c. Develop an estimated regression equation relating y to x1 and x2 . Predict if x1=35 and x2=25 .

Solutions

Expert Solution

We can solve this question using excel.

First, enter data into excel.

a. Develop an estimated regression equation relating to y to x1. Predict y if x1 = 35.

Click on Data -------> Data Analysis --------> Regression ------->

Input

Input Y Range : select y values

Input X Range :select values of x1.

Output Range: select an empty cell

---------> ok
We get

So the estimated regression equation is

x1 = 35

Predicted y =

----------------------------------------------------------------------------------------------------------------------

b. Develop an estimated regression equation relating y to x2. Predict y if x2=25.

Click on Data -------> Data Analysis --------> Regression ------->

Input

Input Y Range : select y values

Input X Range :select values of x2.

Output Range: select an empty cell

---------> ok
We get

So the regression equation is

x2 = 25

Predicted y =

------------------------------------------------------------------------------------------------------------------------------

c. Develop an estimated regression equation relating y to x1 and x2. Predict if x1=35 and x2=25 .

Click on Data -------> Data Analysis --------> Regression ------->

Input

Input Y Range : select y values

Input X Range :select values of x1 and x2.

Output Range: select an empty cell

---------> ok
We get

So the regression equation is

x1 = 35

x2 = 25

The predicted value is


Related Solutions

Consider the following data for a dependent variable y and two independent variables, x2 and x1....
Consider the following data for a dependent variable y and two independent variables, x2 and x1. x1 x2 y 30 12 94 46 10 109 24 17 113 50 17 179 41 5 94 51 19 175 75 8 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1 . Predict y if x1=45....
Consider the following data for a dependent variable y and two independent variables, x1 and x2.
You may need to use the appropriate technology to answer this question. Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 93 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 The estimated regression equation for these data is ŷ = −18.89 + 2.02x1 + 4.74x2. Here, SST = 15,276.0,...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 94 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 209 The estimated regression equation for these data is ŷ = −17.02 + 1.99x1 + 4.70x2. Here, SST = 14,902.9, SSR = 13,773.1, sb1 = 0.2470, and sb2 = 0.9480. (1a) Test...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 13 95 46 10 108 25 18 113 50 16 179 40 5 95 51 20 176 74 7 170 36 12 117 59 13 142 77 16 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1. ŷ =_________ +___________ x1 Predict...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 95 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 212 The estimated regression equation for these data is ŷ = −18.52 + 2.01x1 + 4.75x2. Here, SST = 15,234.1, SSR = 14,109.8, sb1 = 0.2464, and sb2 = 0.9457. (a)Test for...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x 1 x 2 y 29 13 94 47 10 109 24 17 113 50 16 178 40 6 95 52 20 176 75 7 171 37 13 118 59 14 142 77 17 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1. ŷ =  +  x1 Predict y...
Given here are the data from a dependent variable and two independent variables. The second independent...
Given here are the data from a dependent variable and two independent variables. The second independent variable is an indicator variable with several categories. Hence, this variable is represented by x2, x3, and x4. How many categories are there for this independent variable? Use a computer to perform a multiple regression analysis on this data to predict y from the x values. Discuss the output and pay particular attention to the dummy variables. y x1 x2 x3 x4 11 1.9...
A researcher would like to predict the dependent variable Y from the two independent variables X1...
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=13 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test statistics to assess the significance of the regression model and partial slopes. Use a significance level α=0.02. X1X1 X2X2 YY 58 64.7 35.9 45 35.4 78.8 69.4 45.5 64.1 63.2 71.9 9 58 42.8 84.3 24.5 55.5 63.5 27.5 49.3 77.3 41.8 50.5...
A researcher would like to predict the dependent variable Y from the two independent variables X1...
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=16 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.05. X1             X2             Y 48 42.3 47.1 36.3 58.7 65.4 43.4 40.2 63.6 49.5 37.9 45.6 45.5 37.2 50.8 40.6 64.7 42.4 42.5 46.7 63.1 42.7 40 35.8 55.8 10.6 52.1 40.9...
A researcher would like to predict the dependent variable Y from the two independent variables X1...
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=12 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test statistics to assess the significance of the regression model and partial slopes. Use a significance level α=0.05.    X1          X2         Y 34.4 26.4 59.4 53.7 38.3 90.4 72.8 43.2 71.3 25.4 21.2 64.5 75.9 46.5 71.1 60.4 27.9 72.6 28 56.4 29.9 40.1...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT