forked from byoshiwara/mfg
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathchap1-summary.xml
More file actions
48 lines (46 loc) · 2.95 KB
/
chap1-summary.xml
File metadata and controls
48 lines (46 loc) · 2.95 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
<?xml version="1.0" encoding="UTF-8" ?>
<!-- <mathbook><book> -->
<section xml:id="chap1-summary" xmlns:xi="http://www.w3.org/2001/XInclude">
<title>Chapter Summary and Review</title>
<subsection><title>Key Concepts</title>
<p>
<ol label="*1*">
<li><p>We can describe a relationship between variables with a table of values, a graph, or an equation.</p></li>
<li><p>Linear models have equations of the following form:
<me>y = (\text{starting value}) + (\text{rate of change}) \cdot x</me>
</p></li>
<li><p>The general form for a linear equation is <m>Ax + By = C</m>.</p></li>
<li><p>We can use the <term>intercepts</term> to graph a line. The intercepts are also useful for interpreting a model.</p></li>
<li><p>A <term>function</term> is a rule that assigns to each value of the input variable a unique value of the output variable.</p></li>
<li><p>Function notation: <m>y = f (x)</m>, where <m>x</m> is the input and <m>y</m> is the output.</p></li>
<li><p>The point <m>(a, b)</m> lies on the graph of the function <m>f</m> if and only if <m>f (a) = b</m></p></li>
<li><p>Each point on the graph of the function <m>f</m> has coordinates <m>(x, f (x))</m> for some value of <m>x</m>.</p></li>
<li><p>The <term>vertical line test</term> tells us whether a graph represents a function.</p></li>
<li><p>Lines have constant slope.</p></li>
<li><p>The slope of a line gives us the <term>rate of change</term> of one variable with respect to another</p></li>
<li><p>
<assemblage><title>Formulas for Linear Functions</title><p>
\begin{align*}
\text{Slope:}<ampersand /> <ampersand />m <ampersand />=\dfrac{\Delta y}{\Delta x}
= \dfrac{y_2 -y_1}{x_2 -x_1}<backslash /><backslash />
<ampersand /><ampersand /><ampersand /> = \dfrac{f(x_2) - f(x_1)}{x_2 -x_1}<backslash /><backslash />
\text{Slope-intercept form:}<ampersand /> <ampersand />y <ampersand />=b + mx<backslash /><backslash />
\text{Point-slope form:}<ampersand /> <ampersand />y <ampersand />=y_1 + m(x - x_1)
\end{align*}
</p></assemblage>
</p></li>
<li><p>The <term>slope-intercept form</term> is useful when we know the initial value and the rate of change.</p></li>
<li><p>The <term>point-slope form</term> is useful when we know the rate of change and one point on the line.</p></li>
<li><p>Linear functions form a <term>two-parameter family</term>, <m>f (x) = b + mx</m>.</p></li>
<li><p>We can approximate a linear pattern by a <term>regression line</term>.</p></li>
<li><p>We can use <term>interpolation</term> or <term>extrapolation</term> to make estimates and predictions.</p></li>
<li><p>If we extrapolate too far beyond the known data, we may get unreasonable results.</p></li>
</ol>.
</p>
</subsection>
<!-- <subsubsection> -->
<xi:include href="./chap1-rev-problems.xml" /> <!-- exercises -->
<!-- </subsubsection> -->
</section>
<!-- </appendix> -->
<!-- </book> </mathbook> -->