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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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The following questions are based on the graph below:

If the mean of weight is 69.151 kg and the standard deviation is 13.359 kg and the mean of the height is 171.16 cm and the standard deviation is 9.41 cm. The correlation coeffient is 0.716.

a) Find the linear regression equation to predict the weight

b) Explain the meaning of the slope

c) Find the coefficient of determination

d) Explain the meaning of the coefficient of determination.

The weights and heights of adults were recorded. The scatterplot is below.
Weight (kg)
120-
110-
100-
90-
80
70-
60-
50
40-
140
150
Weight versus Height of Adults
160
170
Height(cm)
180
190
200

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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