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This table contains data on the number of people visiting a historical landmark over a period of one week.. . Day Number of. Visitors. 1 120. 2 124. 3 130. 4 131. 5 135. 6 132. 7 135. . Sketch a scatter plot and draw an estimated regression line. Which of these values comes closest to the slope of your regression line?. . 0.6. . 1.0. . 1.6. . 2.4. . 3.2

User Crasp
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2 Answers

1 vote

Final answer:

A scatter plot would display the number of visitors against the day number, and the estimated regression line would show the trend of visitors over time. The slope indicates the change in visitors per day. A reasonable estimate for the slope, based on visual approximation, would be around 1.6 or 2.4.

Step-by-step explanation:

To sketch a scatter plot for the given data of people visiting a historical landmark over a period of one week, we plot each day as a point on the graph with the day number as the x-coordinate and the number of visitors as the y-coordinate. Once the scatter plot is drawn, the next step is to draw an estimated regression line, which is a line that best represents the trend of the data. The slope of this regression line represents the average change in the number of visitors per day.

To draw a regression line by eye, one would try to ensure that there are as many points above the line as there are below it. The exact slope requires calculation, but estimating visually, we look for a line that rises approximately as much as the increase in visitors from day to day. Given the options provided (0.6, 1.0, 1.6, 2.4, 3.2), if we assume the slope represents the increase in visitors per day over the week, we might expect the slope to be around 2, as the visitor count is increasing by roughly 2 to 3 people per day. Therefore, a slope of 1.6 or 2.4 would be a reasonable estimate for the slope, but without doing exact calculations, we cannot determine the value precisely.

User Stribika
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6 votes

Answer:


\boxed{\boxed{\text{slope}=2.4}}

Step-by-step explanation:

A scatter plot is a two-dimensional data visualization that uses dots to represent the values obtained for two different variables one plotted along the x-axis and the other plotted along the y-axis.

A regression line is a straight line that describes how a response variable y changes as an variable x changes. It is the relation between two variables x and y.

Here,

x = day of a week

y = number of visitors

The given data points are
(1,120),(2,124),(3,130),(4,131),(5,135),(6,132),(7,135)

Plotting the scatter plot and regression line in Excel, the following is generated which is attached further below.

The regression line is,


y = 2.357x + 120.1

Comparing it with the general slope-intercept form
y=mx+c,

slope =
2.357\approx 2.4

This table contains data on the number of people visiting a historical landmark over-example-1
User Vorsprung
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