Answer:
5.47% of the total variation between the two variables can be explained by the regression line.
Step-by-step explanation:
Given :
R value = 0.234
The R value is the correlation Coefficient ; which gives the type and level of correlation between two variables.
However, to Obtian the percentage variation which can be explained by by the regression line, we have to obtain the Coefficient of determination, R².
R² value is Obtained by taking the squared of the correlation Coefficient
Hence,
R² = 0.234² = 0.054756
R² = 0.05476 * 100% = 5.4756%
Hence, R² = 5.48%
This is interpreted as ; 5.47% of the total variation between the two variables can be explained by the regression line.
Answer:
a. 2
Step-by-step explanation:
Answer:
$5,675
Step-by-step explanation:
Answer:
Step-by-step explanation:
Calculation for the cost of the ending inventory using specific identification method.
Using this formula
Cost of ending inventory =
(January units ×January cost) +( February units ×February cost) + (May units × May cost) + (September units ×September cost) + (November units × November cost)
Cost of ending inventory =
January 5 units ×$116=$580
February 6 units ×$127=$762
May 10 units ×$139=$1,390
September 4 units ×$147=$588
November 15 units×$157=$2,355
Total =$5,675
Therefore the ending inventory using the specific identification method will be $5,675
Answer: X is a variable.
Step-by-step explanation:
