Number of Wins per Number of Losses 1. Slope 161.96 2. y-intercept -1.0004x 3. C
ID: 2949054 • Letter: N
Question
Number of Wins per Number of Losses
1. Slope 161.96
2. y-intercept -1.0004x
3. Coefficient of Determination 0.99937
4. Linear correlation coefficient 0.99968
Using r and At a .05 level of significance with n = 30 respond to questions 5 and 6 to
determine if there is a linear relationship between number of losses and number of wins.
5. From table A-5 The critical values r=
Complete the following statement by filling in the blanks and choosing the correct
answer from within parentheses:
6. Because the absolute value of r=
(exceeds/does not exceed)
the critical value of r=
there (is/is not) a linear correlation between number of losses and number of wins.
If there IS a linear relationship, complete the following statement regarding r2
7. About % of the wins can be explained by the linear relationship
between number of losses and number of wins.
Number of Wins per Number of Losses
1. Slope 161.96
2. y-intercept -1.0004x
3. Coefficient of Determination 0.99937
4. Linear correlation coefficient 0.99968
Using r and At a .05 level of significance with n = 30 respond to questions 5 and 6 to
determine if there is a linear relationship between number of losses and number of wins.
5. From table A-5 The critical values r=
Complete the following statement by filling in the blanks and choosing the correct
answer from within parentheses:
6. Because the absolute value of r=
(exceeds/does not exceed)
the critical value of r=
there (is/is not) a linear correlation between number of losses and number of wins.
If there IS a linear relationship, complete the following statement regarding r2
7. About % of the wins can be explained by the linear relationship
between number of losses and number of wins.
Explanation / Answer
5)
critical values for df =n-2 = 28 is r = 0.381
6)
r= 0.99968 exceeds
critical value of r = 0.381
hence
there is a linear correlation between number of losses and number of wins.
7)
this is given by R^2 = 0.99937
hence 99.937 % of the wins can be explained by the linear relationship
between number of losses and number of wins.
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