If the confidence interval for the regression slope includes zero, we would have
some evidence that beta
could be equal to zero, which would indicate that there may not be a
relationship between the dependent and independent variables. -
CORRECT REPLY>>>-True
A professor would like to test the hypothesis that the average number of
minutes that a student needs to complete a statistics exam has a standard
deviation that is less than 5.0 minutes. Which of the following would be the
correct hypothesis statement? - CORRECT REPLY>>>-H0: sigma
squared greater than or equal to 25
H1: sigma squared less than 25
A coefficient of determination equal to zero indicates that there is no
relationship between the independent and dependent variables. -
CORRECT REPLY>>>-True
A relationship is linear if the scatter plot of the independent and dependent
variables has a straight-line pattern. - CORRECT REPLY>>>-True
With one-way ANOVA, there will be a greater chance of rejecting the null
hypothesis when more variation in the data is due to the SSB rather than the
SSW. - CORRECT REPLY>>>-True
, Two-way ANOVA incorporates a blocking factor to account for variation outside
of the main factor in the hopes of increasing the likelihood of detecting a
variation due to the main factor. - CORRECT REPLY>>>-False
The ________ measures how consistent the slope of the regression equation
would be if several sets of samples from the population were selected and the
regression equation were derived for each of them. - CORRECT
REPLY>>>-standard error of the slope
A software company would like to test if the standard deviation for the age of
"gamers" (those that routinely play video games) is equal to 6.0 years. Which of
the following would be the correct hypothesis statement? - CORRECT
REPLY>>>-H0: sigma squared equals 36.0
H1: sigma squared not equal to 36.0
A Type I error occurs when performing one-way ANOVA when we conclude that
the _______. - CORRECT REPLY>>>-population means are not
equal when, in fact, they are equal.
The ________ measures the total variation in the dependent variable in simple
regression analysis. - CORRECT REPLY>>>-total sum of squares