To explain the statistical significance of the model, first state the appropriate null and alternative hypotheses.
Upper H 0:
â–¼
â–¼
enter your response here
Upper H 1:
â–¼
beta 0
beta 1
â–¼
equals
not equals
greater than
less than
enter your response here
(Type integers or decimals. Do not round.)
Part 5
Identify the test statistic.
tequalsenter your response here
(Round to two decimal places as needed.)
Part 6
Since the p-value is
enter your response here,
â–¼
reject
fail to reject
Upper H 0.
There
â–¼
is not sufficient
is sufficient
evidence of a
â–¼
causal relationship
non-linear relationship
linear relationship
between points/game and yards/game.
(Round to three decimal places as needed.)
Part 7
Determine the coefficient of determination,
Upper R squared,
and interpret its meaning. Select the correct choice below and fill in the answer box to complete your choice.
(Round to three decimal places as needed.)
A.
The coefficient of determination is
Upper R squaredequalsenter your response here.
This value is the proportion of variation in yards/game that is explained by points/game.
B.
The coefficient of determination is
Upper R squaredequalsenter your response here.
This value is the probability that the slope of the regression line is statistically significant.
C.
The coefficient of determination is
Upper R squaredequalsenter your response here.
This value is the proportion of variation in points/game that is explained by the variation in yards/game.
D.
The coefficient of determination is
Upper R squaredequalsenter your response here.
This value is the probability that the correlation between the variables is statistically significant.