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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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532 CHAPTER 16 | Introduction to Regression

Note that a positive

slope means that Y

increases when X is

increased, and a negative

slope indicates that

Y decreases when X is

increased.

In the general linear equation, the value of b is called the slope. The slope determines

how much the Y variable changes when X is increased by one point. For the gym membership

example, the slope is b = $15 and indicates that your total cost increases by $15 each

month. The value of a in the general equation is called the Y-intercept because it determines

the value of Y when X = 0. (On a graph, the a value identifies the point where the line intercepts

the Y-axis.) For the gym example, a = $35; there is a $35 membership charge even

if you never visit the gym.

Figure 16.2 shows the general relationship between the total cost and number of months

for the gym example. Notice that the relationship results in a straight line. To obtain this

graph, we picked any two values of X and then used the equation to compute the corresponding

values for Y. For example,

when X = 3: when X = 8:

Y = bX + a

Y = bX + a

= $15(3) + $35 = $15(8) + $35

= $45 + $35 = $120 + $35

= $80 = $155

160

140

120

Total cost (Y )

100

80

F I G U R E 16.2

The relationship between total

cost and number of months of

gym membership. The gym

charges a $35 membership fee and

$15 per month. The relationship

is described by a linear equation

Y = 15X + 35 where Y is the

total cost and X is the number

of months.

60

35

0

1 2 3 4 5 6 7 8 9

Number of months (X )

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