Answer: compare the relative strength of coefficients.
Step-by-step explanation: The Coefficient of determination usually denoted as R^2 is obtained by taking the squared value of the correlation Coefficient (R). It's value ranges from 0 to 1 and the value obtained gives the proportion of variation in the dependent variable which could be attributed to it's correlation or relationship to th independent variable. With a R^2 value close to 1, this means a large portion of Variation in a variable A could be explained due to changes in variable B while a low value signifies a low variance between the variables. Hence, the Coefficient of determination is used in comparing the relative strength of the Coefficients in other to establish whether a weak or strong relationship exist.
Answer:
Step-by-step explanation:
Using the mean concept, it is found that the average score of Adrian’s favorite team relative to its opponent using the observations Adrian made during the game is of -0.3333.
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The mean of a data-set is given by the sum of all observations divided by the number of observations.
Adrian looked the scores every 10 minutes in 2 hours, thus 12 times, as .
4 times ahead by 3 points, thus
4 times behind by 4 points, thus
At the other moments, the game was tied, thus the observation is 0.
Thus, the mean is of:
The average score of Adrian’s favorite team relative to its opponent using the observations Adrian made during the game is of -0.3333.
Answer:
I think The answer to your question is 10
Step-by-step explanation:
