Question

I'm looking for 1 independent variable and 2 dependent variables. My analysis is on a baseball...

I'm looking for 1 independent variable and 2 dependent variables. My analysis is on a baseball team. I'm using 60 home games and 60 away games, totaling 120 games observed. My question is if I have my variables set up correctly?

Independent variable = homeruns hit

Dependent variable 1 = away games

Dependent variable 2 = home games

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

I'm looking for 1 independent variable and 2 dependent variables. My analysis is on a baseball team. I'm using 60 home games and 60 away games, totaling 120 games observed. My question is if I have my variables set up correctly?

Yes, answer is correct

Independent variable = homeruns hit

Dependent variable 1 = away games

Dependent variable 2 = home games

An easy way to think of independent and dependent variables is, when you're conducting an experiment, the independent variable is what you change, and the dependent variable is what changes because of that. You can also think of the independent variable as the cause and the dependent variable as the effect.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
I'm struggling with my research variables. My research topic is the US-China trade conflict. I want...
I'm struggling with my research variables. My research topic is the US-China trade conflict. I want to prove that the US-China trade conflict has helped the US economy. if so, what would be my dependent variable, and what would be my independent variables? (I have data such as trade balance, income, unemployment rate, interest rate, economic growth rate, and foreign trade growth rate.)
Suppose two variables are inversely related and graphing the dependent variable versus the independent variable gives...
Suppose two variables are inversely related and graphing the dependent variable versus the independent variable gives a straight line. Does the line have a negative or a positive slope? Explain your answer. This question falls within the topic of graphical analysis of one-dimensional motion. A. The line will have a positive slope because the dependent variable increases with the increase in independent variable. B. The line will have a negative slope because the dependent variable increases with the increase in...
Below are the define variables: 1. Dependent variable: defects 2. Independent variables: testing effort, development effort,...
Below are the define variables: 1. Dependent variable: defects 2. Independent variables: testing effort, development effort, test cases, code size, number of developers. We want to predict number of defect in order to minimize testing efforts prior to testing. Assume we have used multiple regression and have predicted number of defects. Question: How can we prove the defects we have predicted will minimize testing efforts?
Part C: Regression and Correlation Analysis Use the dependent variable (labeled Y) and the independent variables...
Part C: Regression and Correlation Analysis Use the dependent variable (labeled Y) and the independent variables (labeled X1, X2, and X3) in the data file. Use Excel to perform the regression and correlation analysis to answer the following. Generate a scatterplot for the specified dependent variable (Y) and the X1 independent variable, including the graph of the "best fit" line. Interpret. Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected...
SUMMARY OUTPUT Dependent X variable: all other variables Regression Statistics Independent Y variable: oil usage Multiple...
SUMMARY OUTPUT Dependent X variable: all other variables Regression Statistics Independent Y variable: oil usage Multiple R 0.885464 R Square 0.784046 variation Adjusted R Square 0.76605 Standard Error 85.4675 Observations 40 ANOVA df SS MS F Significance F Regression 3 954738.9 318246.3089 43.56737 4.55E-12 Residual 36 262969 7304.693706 Total 39 1217708 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -218.31 63.95851 -3.413304572 0.001602 -348.024 -88.596 -348.024 -88.596 Degree Days 0.275079 0.036333 7.571119093 5.94E-09...
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 needed in total 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...
I have two regression models. same independent variable and same control variables in both. The only...
I have two regression models. same independent variable and same control variables in both. The only diferrence is the dependent variable. in my findings what do I discuss? my AR 2 for one is .267 and the other is .046. in my findings do I talk about the difference between the adjusted r square value? thank you!
Use the dependent variable (labeled Y) and the independent variables (labeled X1, X2, and X3) in...
Use the dependent variable (labeled Y) and the independent variables (labeled X1, X2, and X3) in the data file. Use Excel to perform the regression and correlation analysis to answer the following. Generate a scatterplot for the specified dependent variable (Y) and the X1 independent variable, including the graph of the "best fit" line. Interpret. Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable. Determine the coefficient of...
1. MODERATION EFFECT Table 10.20: Result of Hierarchical Regression Analysis (Customer Loyalty) Independent variables Dependent variable:...
1. MODERATION EFFECT Table 10.20: Result of Hierarchical Regression Analysis (Customer Loyalty) Independent variables Dependent variable: Customer Loyalty Step 1 Step 2 Step 3 Primary independent variables Trust 0.250* 0.223* 0.287* Commitment 0.122 0.131 0.089 Communication 0.293** 0.301** 0.164* Conflict Handling 0.293** 0.301** 0.164* Moderating variable Gender -0.105* -0.096 Interaction effects Trust    x Gender 0.509** Commitment    x   Gender -0.050 Communication   x   Gender -0.416* Conflict Handling   x Gender -0.416* R2 0.239 0.307 0.432 Change in R2 0.239* 0.068I* 0.125* Change in...
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=77, SST=88,  summation (x_i-xbar)2=23, summation (x_i-xbar)(y_i-ybar)=44. Calculate the t test statistics to determine whether a statistically linear relationship exists between x and y. A sample of 7 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=24, SST=42 Using a 0.05 level of significance,...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT