How can eigenvalues be used? Since eigenvalues represent the amount of variance accounted for by a...
How can eigenvalues be used?
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Since eigenvalues represent the amount of variance accounted for by a factor, they can be used to determine the percentage of total variance explained by a factor solution. |
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Since eigenvalues represent the amount of variance accounted for by a factor solution, they can be used to determine whether a variable is statistically significant. |
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Since eigenvalues represent the amount of variance accounted for by a factor, they can be used to determine whether a particular factor is statistically significance. |
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They can be used to determine the significance of the overall model, similar to the F-statistic in regression. |
Homework Answers
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How can eigenvalues be used?
Since eigenvalues represent the amount of variance accounted for
by a...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is: Y = Bo + B. Speed+B Angle If the level of significance, alpha, is 0.10, based on the output shown, is Angle statistically significant in the multiple regression model shown above? Select one. OLS Regression Results ==================================== ========== 0.978...
13. Selling price and the amount spent on advertising were entered into a multiple regression to...
13. Selling price and the amount spent on advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. Using the output below, which statement(s) is(are) correct? Analysis of Variance Source Regression Error Total (Adj) Ss 16477.3 3038.0 19515.4 DF MS 8238.7 112.5 27 29 I. The F statistic to determine the overall significance of the estimated multiple regression model is 73.23 II. The multiple regression model is overall significant. III. It is not appropriate...
13. Selling price and the amount spent on advertising were entered into a multiple regression to...
13. Selling price and the amount spent on advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. Using the output below, which statement(s) is(are) correct? Analysis of Variance Source DF (Adj)SS MS Regression 2 16477.3 8238.7 Error 27 3038.0 112.5 Total 29 19515.4 I. The F statistic to determine the overall significance of the estimated multiple regression model is 73.23. II. The multiple regression model is overall significant. III. It is not appropriate...
A simple linear regression equation, LNQ = a + bLNH + cLNS is estimated by a...
A simple linear regression equation, LNQ = a + bLNH + cLNS is estimated by a computer regression routine which produces the following output – see the information below. LNQ is the percentage change in the number of cars sold in a day; LNH is the percentage change in the number hours the dealership is open; and LNS is the percentage change in the number of sales persons working that day. The parameter estimates can be interpreted as the percentage...
1. In a Regression model, what measurement approximately tells us the amount of variation in our...
1. In a Regression model, what measurement approximately tells us the amount of variation in our dependent variable that is explained by the model? Group of answer choices F Statistic None of these R-Square t Statistic 2. In your own words, briefly describe what a hypothesis test is looking for to determine whether or not a result is significant. What is a drawback of Exponential Smoothing models? Group of answer choices None of these They always lag real - world...
10.________ is the proportion of variance in the dependent variable that is accounted for by the...
10.________ is the proportion of variance in the dependent variable that is accounted for by the independent variable. Select one: A. z B. R2 C. t D. Cohen's d 11. Using the following incomplete source table, what decision can be made about the hypotheses being tested? Source SS df MS F Between-groups 10.1 2 5.05 Subjects 7.4 4 1.85 Within-groups 8.5 8 1.063 Total 26 14 Select one: A. Fail to reject the null hypothesis because the F statistic does...
11. (25 points) A multiple regression analysis is conducted to determine factors that relate to the...
11. (25 points) A multiple regression analysis is conducted to determine factors that relate to the success of sales associates. The regression is conducted between annual sales (Y in $1,000s), years of experience gion (X3; zero representing USA and 1 representing Canada) was performed on a sample of 29 people, and the following results were obtamed where SSR 84 60 amd SSE 57.5. Standard Coefficient Error Constant X1 X2 X3 40.28 1.36 12.03 1.65 0.121.22 6.481.54 Write the regression equation....
4) Repair time of a car can be modeled by linear regression using months since the type of repair (X1), drive type (X2), servicing frequency (X3), and driving frequency (X4) as predictors. The model o...
4) Repair time of a car can be modeled by linear regression using months since the type of repair (X1), drive type (X2), servicing frequency (X3), and driving frequency (X4) as predictors. The model obtained was Y = 2.5 +1.7X1 – 3.5X2 + 6.2X3 – 4.7X4. The model was built based on 40 cars and the standard errors for X1, X2, X3, and X4 were 3.4, 2.6, 2.8, and 3.9 respectively. If the F-stat is 5.8, a) Find R2. b)...
In determining if this regression is significant, I observed the following, am I taking the correct...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
The following multiple regression printout can be used to predict a person's height (in inches) given...
The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.28 1.07 51.66 0.000 Shoe Size 1.164 0.14 0.000 Gender 2.571 0.485 5.30 0.000 (a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.)...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is: Y = Bo + B. Speed+B Angle If the level of significance, alpha, is 0.10, based on the output shown, is Angle statistically significant in the multiple regression model shown above? Select one. OLS Regression Results ==================================== ========== 0.978...
13. Selling price and the amount spent on advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. Using the output below, which statement(s) is(are) correct? Analysis of Variance Source Regression Error Total (Adj) Ss 16477.3 3038.0 19515.4 DF MS 8238.7 112.5 27 29 I. The F statistic to determine the overall significance of the estimated multiple regression model is 73.23 II. The multiple regression model is overall significant. III. It is not appropriate...
11. (25 points) A multiple regression analysis is conducted to determine factors that relate to the success of sales associates. The regression is conducted between annual sales (Y in $1,000s), years of experience gion (X3; zero representing USA and 1 representing Canada) was performed on a sample of 29 people, and the following results were obtamed where SSR 84 60 amd SSE 57.5. Standard Coefficient Error Constant X1 X2 X3 40.28 1.36 12.03 1.65 0.121.22 6.481.54 Write the regression equation....
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
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