Mean 1 = 17, SD 1=7.89Mean 2= 89, SD 2= 6.69R = -0.84What is the proportion of variance shared between the two variables? (How much of the variance in one variable can be predicted by the variance in the other variable?) (Round calculated results to the hundredth (2nd place to the right of the decimal) when result extendsbeyond that unless otherwise noted).It is generally believed that there is a relationship between a college's acceptance rate and itsgraduation rate. I wanted to know how strong this relationship is within the top universities in thecountry, so I collected the graduation rate and acceptance rate data of a randomly selected sample ofuniversities from all the top U.S. universities (with an acceptance rate at or below 30%). The data set isin Tab Q2 of the Excel data file.Ola Create a scatter plot between the two variables using Excel. Paste the plot here and format it into 12345678ABCCollege ID Accept rate (%) Grad rate (%)159659769589810961094158515931584169218891896209020862485257625868078849101112131415161718192072222122233424568LOSA EN234791011121314151617181920282829

Answered: Mean 1 = 17, SD 1=7.89 Mean 2= 89, SD…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Mean 1 = 17, SD 1=7.89 Mean 2= 89, SD 2= 6.69 R = -0.84 What is the proportion of variance shared between the two variables? (How much of the variance in one variable can be predicted by the variance in the other variable?)

(Round calculated results to the hundredth (2nd place to the right of the decimal) when result extends
beyond that unless otherwise noted).
It is generally believed that there is a relationship between a college's acceptance rate and its
graduation rate. I wanted to know how strong this relationship is within the top universities in the
country, so I collected the graduation rate and acceptance rate data of a randomly selected sample of
universities from all the top U.S. universities (with an acceptance rate at or below 30%). The data set is
in Tab Q2 of the Excel data file.
Ola Create a scatter plot between the two variables using Excel. Paste the plot here and format it into

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College ID Accept rate (%) Grad rate (%)
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568LOSA EN
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Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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