Question

Suppose you fit a model with an influential point. With the point, the association of interest...

Suppose you fit a model with an influential point. With the point, the association of interest is just statistically significant, and without it, it is clearly not. What would you do?
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

An influential point is an outlier that greatly affects the slope of the regression line. If your data set includes an influential point, here are some things to consider.

1. An influential point may represent bad data, possibly the result of measurement error. If possible, check the validity of the data point.

2. Compare the decisions that would be made based on regression equations defined with and without the influential point. If the equations lead to contrary decisions, use caution.

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
Imagine you fit a regression model to a dataset and find that R‐squared = 0.69. Is...
Imagine you fit a regression model to a dataset and find that R‐squared = 0.69. Is this a good regression model or not? If you cannot tell, what additional information do you need? Explain. Research and then explain the “regression fallacy”. Provide at least one example.
Let us instead fit a linear regression model to the data on employee sales. in particular,...
Let us instead fit a linear regression model to the data on employee sales. in particular, we fit the model: sales = b0 + b1*employee group + e, where employee group is a categorical variable with values a, b, and c. we set group a to be the reference category.  from this model we get the following output. from this output, 1. what can we conclude is the mean sales for group a (in dollars/day)? 2.what can you conclude is the...
Suppose you use Excel’s Chart feature to fit an exponential       model in x= f(p) form to...
Suppose you use Excel’s Chart feature to fit an exponential       model in x= f(p) form to your product’s Demand data.  If the model is x=         2,306.4(e)–0.002(p), with (R2) = 0.7401…        a.  …estimate the Demand “x” associated with a unit price “p” of $400.        b.   …estimate the unit price “p” associated with a Demand “x” of 1,700units.
Suppose that in a multiple regression the overall model is significant, but the p values of...
Suppose that in a multiple regression the overall model is significant, but the p values of none of the individual slope coefficients are small enough. This means that: a.none of the other choices are correct b. nonlinear model would be a better fit c. the assumptions have been violated d. multicollinearity may be present e. linear regression would be better
What is statistical significance? How do you know if something is statistically significant? (up to 5...
What is statistical significance? How do you know if something is statistically significant? (up to 5 points) Two researchers are arguing about statistical findings. One of them believes that any statistically significant result is important, irrespective of the magnitude of the association between the independent variables and dependent variables. The other one contends that statistical significance is meaningless if the association is weak. Who is correct? Explain your answer. Offer a hypothetical or real-world example to illustrate your point. (up...
What could you conclude if you were given the following measure of association: Relative Risk =...
What could you conclude if you were given the following measure of association: Relative Risk = 0.89 (95%CI: 0.76- 1.04)? a. A case-control study was used to estimate this relative risk estimate. b. The exposure is a risk factor. c. The relative risk estimate is not statistically significant. d. There is a causal relationship between the exposure and the outcome.
What is Response Surface Methodology (RSM)? What type of model can we fit using RSM? Hill...
What is Response Surface Methodology (RSM)? What type of model can we fit using RSM? Hill and Hunter (1996) outlined four steps in analysis of RSM as: 1) perform a statistically designed experiment 2) estimate the coefficients in the response surface equation 3) check on the adequacy of the equation and 4) study the response surface in the region of interest. Those look similar to the procedure in DOE, but RSM enables us to look at something different in terms...
Question 1 Suppose you estimate the following regression function where Y, X1, and X2 are continuous...
Question 1 Suppose you estimate the following regression function where Y, X1, and X2 are continuous variables measured in integers: Yhat=0.5+0.25*X1 −0.01*X2−0.43*X
3 Suppose that X2=X1*X1 The standard error of beta0hat is 0.10. The standard error of beta1hat is 0.05. The standard error of beta2hat is 0.005. The standard error of beta3hat is 0.05. What is the marginal effect of X1 when it increases from 3 to 4? Round to two decimal places. 10 points Question 2 Refer to question...
Suppose that the NFL and the NFL Players Association are negotiating on a new collective bargaining...
Suppose that the NFL and the NFL Players Association are negotiating on a new collective bargaining agreement. Each side has the options to either be mean or be nice in negotiations. Suppose we model the game as a simultaneous move game, depicted in the game box below. Note: The payoffs below are depicted as: (NFL payoff, Players Association payoff) The Players Association Be Mean Be Nice The NFL Be Mean 15, 0 20, 10 Be Nice 10, 20 30, 15...
Many statistical methods and techniques we are looking at are intrinsically related and/or provide different views...
Many statistical methods and techniques we are looking at are intrinsically related and/or provide different views at the same underlying phenomena. This week you read about contingency tables. As we discussed, this is a way to examine possible association between two (categorical) variables. An example we have considered was association between patient's sex and remission status. We know other methods for testing for associations (not necessarily perfectly fit for the specific problem). Can you think about setting up a linear...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT