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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. Describe what a z score is. B. Explain why they can be used to compare scores from different distributions.
A prevent of huge m = 10 kg is drawn by a power F = 100 N at a position q = 30o with the horizontally along a sleek horizontally exterior. What is the speed of the block? (g = 10 m
The research should be Quantitative Research: A means for testing objective theories by examining the relationship among variables. These variables can be measured and analyzed
Employee portion of Social Security tax A key part of paycheck bookkeeping is the Public Protection tax (The Public Protection tax along with the Medical health insurance tax m
some examples of karl coefficient.
Comment on the sample size, measure of central tendency, dispersion, kurtosis, and skewness.Use the z -scores in the book (or calculate your own) to provide this response. What doe
Is the z-square the same as the z-test? what is it used for and how is it different from t-square?
assignment
1) Here we are given a raw data and we are supposed to construct the frequency distribution of that data and plot the histogram of it. The dataset contains the values from 1 to
bookeeping cycle
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