A library association plans to take an SRS of 150150150 adults from the population of adults in the US to see what proportion of
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<h3>a. slope = 
</h3><h3>b. slope = m = positive = positive correlation = two sets of data increase together</h3><h3>Further explanation</h3>
Scatter plot shows the relationship between data
We can use Regression to make lines on the chart or you can also make lines with the principle as close as possible to all points
Regression
Because data is in the form of numbers from the hand span length and height of each of students. not displayed clearly, then we make a line directly by making points on the graph above and below the line as much as possible to be balanced
We specify 2 points that are crossed by a line, for example:
(6.45) and (8.60)
slope (m) = change in y / change in x
Slope has a positive value, and shows a positive correlation where the tendency of the number rises simultaneously, or can be concluded:
<em>tall students will have the long hand span length too</em>
<h3>Learn more</h3>Line equation
Keywords : line equation, slope, regression, the hand span length and height, graph, Scatter plot
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