Question

Why is it true that the more independent variables you include in your regression the more...

Why is it true that the more independent variables you include in your regression the more rich and varied your dataset must be?

Homework Answers

Answer #1

The more rich and varied a dataset is, it will have more things hidden in it. This variety in the dataset makes things lesser simpler. Better models are needed to explain the variety in the data. The influence of many factors adds in to the richnes of the data. Only identifying these factors and finding variables which will capture these factors is going to include the richness of the data in the model we build. So these variables should be added into the model to fully explain the dataset

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Say your supervisor performs a regression and later find that one of your independent variables (X1)...
Say your supervisor performs a regression and later find that one of your independent variables (X1) is correlated with another variable that you did not include the regression (X2), and this other variable might better explain the variance in the dependent variable (Y). Explain what is likely to happen if your supervisor conducts another regression with both of these independent variables included in the model.
True or False: Regression techniques are mostly driven by four metrics: the number of independent variables,...
True or False: Regression techniques are mostly driven by four metrics: the number of independent variables, the number of dependent variables, the type of dependent variables and the shape of regression line.
6. True, False, Explain. Adding a variables to a regression that are highly correlated with the...
6. True, False, Explain. Adding a variables to a regression that are highly correlated with the independent variables already included but not with the dependent variable will increase your chance of committing type II errors when conducting tests of statistical significance on the estimated coefficients.
How do independent variables influence dependent variables in a regression model?
How do independent variables influence dependent variables in a regression model?
1. The dependent variable has a score in the case of logistic regression. TRUE or FALSE...
1. The dependent variable has a score in the case of logistic regression. TRUE or FALSE and why? 2, If the probability of an even A is 0.2 and that of an event B is 0.10 then the odds ratio is: a.1 b. 2.25 c. 2.0 d. 0.5 3. In the case of logistic regression, we estimate how much the natural logarithm of the odds for Y =1 changes for a unit change in X. TRUE or FALSE 4. In...
QUESTION 18 As independent variables are added to a multiple regression equation, the coefficient of determination,...
QUESTION 18 As independent variables are added to a multiple regression equation, the coefficient of determination, R2, never decreases. a. True b. False
Which of the the following are true regarding regression models? Select all that apply. Group of...
Which of the the following are true regarding regression models? Select all that apply. Group of answer choices Errors sum to a large number. The relationship between the dependent variable and independent variables must be non-linear. It is used to determine if one or more independent variables affect the dependent variable. The error is found by subtracting the actual value from the predicted value. Observations must be independent.
1. T/F and explain: In simple linear regression there can be only one independent and one...
1. T/F and explain: In simple linear regression there can be only one independent and one dependent variable, but in multiple regression there can be more than one independent variable and more than one dependent variable. .2. From regression, using you own words, define the Error Term. 3. Why is it important to check for correlation between independent variables in multiple regression? 4. Assume two of your right hand side variables are correlated. What techniques are available to you to...
QUESTION 19 True or False: Adding more independent variables into the model necessarily reduces bias. True...
QUESTION 19 True or False: Adding more independent variables into the model necessarily reduces bias. True False 2.5 points    QUESTION 20 True or False: By adding more independent variables into our OLS model, we have a greater chance of getting rid of the endogeneity that exists within the error term. True False 2.5 points    QUESTION 21 True or False: Given the model Income = β 0 + β 1 Parental income + β 2 Male where Male is...
Answer the following questions: What do you expect the relationship between your independent variables and dependent...
Answer the following questions: What do you expect the relationship between your independent variables and dependent variables will be? Which model would you select as the best model and why did you select it? Which are the dummy variables for each equation? Multiple Regression Equation 1: Daily Gross Revenue=766.981 + 2.977 * Daily Tour Income – 12.31 * Number of Tourists Multiple Regression Equation 2: Daily Gross Revenue=1111.8 – 151.22*Weekend+2.933*Daily Tour Income –12.04*Number of Tourists