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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.
The manager of a large industrial plant is interested in investigating whether age has an effect on the leadership ability of employees. 66 employees were randomly selected, divide
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Would there be a possibility to use the correlation coefficient to identify collocations? Compare with the Chi2 test. • How could we maybe do that?
After analyzing the data the researcher has to test ten hypotheses various tests such as chi square test t test have been developed by statisticians for the purpose. The hypotheses
Read Confidence Intervals and P-values in Section C of your Lecture Workbook or on Cecil under Assignment Resources. Consider a study to determine ways the response rate in surveys
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A drainage system overows into a river causing pollution when the rainfall falling in an hour exceeds 50 mm. During any given year, the maximum hourly rainfall follows an exponenti
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For this assignment, you will practice creating null and alternative hypotheses of difference based on the presented scenarios. To complete this assignment, consider the three scen
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