Exam 15: Understanding Regression Analysis Basics

A weather forecaster studies relationships among phenomena such as wind direction,barometric pressure,humidity,jet stream flow,and temperature.Based upon his or her knowledge of the relationships between these variables and the weather,the forecaster predicts there is an 80 percent chance of rain tomorrow.Which method of prediction have you used?

An outlier refers to Multiple Rs that are above expected norms such as above 95 or 100.

In bivariate regression analysis,t tests are used to test the significance of the slope and the intercept of the multiple dependent variables.

The National Football League office discovered data covering attendance at professional football games in the late 1940s and early 1950s.The game with the highest attendance was between the St.Louis Cardinals and the New York Giants.The office also found considerable information that someone had collected on each game day,such as the level of GDP,the DOW,numbers of persons employed,number of new businesses formed during the week preceding the game,and the population.A student intern took the information and built a regression model to predict game attendance for the upcoming season.The model:

When we make a prediction using multiple regression,we can apply a 95 percent confidence interval around the predicted dependent variable by multiplying:

Which of the following is NOT true of prediction?

If the intercept is found to be 2 and the slope is found to be 5 in a regression result formula,then:

If the tests of the significance of the slope and the intercept are significant,this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and,therefore,the regression equation may be used as a prediction device.

Immediately in bivariate analysis,the researcher must find out whether or not a linear relationship exists in the population.

In dummy coding,the 0-versus-1 code is traditional,but any two adjacent numbers could be used,such as 1 versus 2.

Sometimes a researcher will find that the ANOVA F is not significant in regression analysis or if the F is significant,the R square is lower than desired.It is appropriate in these cases to:

In regression,the variable used to predict the dependent variable is known as x,the independent variable.

When we want to use one variable to predict another and use the equation: y = a + bx,we use the technique known as multiple regression.

When we make predictions and compare the differences between our predictions and the actual results,we are performing what is known as analysis of residuals.

In multiple regression we make a prediction,but we cannot put confidence intervals around our prediction as we can in bivariate regression.

Which of the following SPSS commands allows you to run bivariate regression?

A multiple regression equation is best described by which of the following forms?

Bivariate regression analysis is defined as a predictive analysis technique in which:

What is the proper SPSS command sequence to run multiple regression analysis?

In a straight-line formula,the intercept is 4,the slope is 2,and the independent variable is 6.The predicted variable's level is: