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Q. Explain Correlation Coefficient?
Ans.
The strength of a linear correlation is determined by how precisely the y variable shifts as the x variable increases. The two pictures on the right show data with a higher correlation than those on the left.
Data is said to have a perfect correlation if all points lie exactly along a line.
The correlation coefficient, r, is a measure of the strength of the correlation. It is a number between 1 and +1. +1 indicates a perfect positive correlation and 1 indicated a perfect negative correlation. If r is positive, then there is a positive correlation between the two variables. If r is negative, there is a negative correlation between the variables.
A study of a new anti-depressant drug took a sample of 10 individuals with high depression screening measures (DSM) and gave them the drug for three months. At the end of the thre
Problems and solutions in marginal costing
Q. Explain Linear Regression model? Ans. Linear correlation measures the strength of a linear relationship, but not the exact numerical relationship. Linear regression, o
Define appraisal (1) The act of evaluating. (2) The approximated value as a result of such measures. Talk about APPRAISE
Consider a multiple regression model Y=ß0+ß1X1+ß2X2+µ The sample data yields the following matrices: X’X= { ¦(33&0&0@0&40&0@0&20&60) } Y’X=¦((132&24&92)) ?(y-Y)2 =150 a. what
Why index numbers serve as economic barometers?
Write a sample Results section, discussing your data screening activity.
#how will understand question..moving average method problems for 4yearly&5yearly also
The Steven Wholesale Co. uses the periodic inventory system. The following transactions occurred during the month of May, the last month of the fiscal year that runs from June 1 t
Use inductive reason to find a pattern for the answers. 9x9=81 99x99=9801 999x999=998001 9999x9999=99980001 99999x99999=?
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