Scatter Plots Explained

Make a scatterplot for the data.
Length (mi) and Water Flow (${\displaystyle 1000f\frac{t^3}{s}}$) of rivers
Length: 2540, 1980, 1460, 1420, 1290, 1040, 886, 774, 724, 659
Flow: 76, 225, 41, 58, 56, 57, 68, 67, 67, 41

What might a scatterplot of data points look like if it were best described by a logarithmic model?

Draw two scatterplots with strong positive associations but different forms.

Make a scatterplot for the data in the table below.
Height and Weight of Football Players
Height (in.): 77 75 76 70 70 73 74 74 73
Weight (lb): 230 220 212 190 201 245 218 260 196

Given a scatterplot for a set of data, how can you draw an accurate trend line?

Regarding a scatterplot, a. identify one of its uses. b. what property should it have to obtain a regression line for the data?

For each topic, decide how a scatterplot of the data would likely look. Explain your reasoning. the price of an apple at a grocery store and the price of a peach at a farmers' market

Make a scatterplot for each set of data.
Hits: 7 8 4 11 8 2 5 9 1 4
Runs: 3 2 2 7 4 2 1 3 0 1

For what types of variables, quantitative or qualitative, are scatterplots useful?

A nutritionist collects the weight of college students in the first semester, then again in the second semester. What is the best way to visually present this data?
a) Line Graphs
b) Scatterplots
c) Bar Graphs
d) Pie Charts

Make a scatterplot for the data.
Height and Weight of Females
$\begin{array}{|cccccccccc|}\hline \text{Height (in.):}& 58& 60& 62& 64& 65& 66& 68& 70& 72\\ \text{Weight (lb):}& 115& 120& 125& 133& 136& 115& 146& 153& 159\\ \hline\end{array}$

Match the values of r with the accompanying scatterplots 0.723,-0.353,0.353,0.998 and -0.998
scatterplots 1,2,3,4,5

Sketch a scatterplot where the association is linear, but the correlation is close to [r = 0].

Unusual points Each of the four scatterplots that follow shows a cluster of points and one “stray” point. For each, answer these questions:
1) In what way is the point unusual? Does it have high leverage, a large residual, or both?
2) Do you think that point is an influential point?
3) If that point were removed, would the correlation be- come stronger or weaker? Explain.
4) If that point were removed, would the slope of the re- gression line increase or decrease? Explain

Give relations mentioned in the given scatterplots A & B

a. Make a scatterplot for the data in the table below.
Height and Weight of Football Players
$\begin{array}{|cccccccccc|}\hline \text{Height (in.):}& 77& 75& 76& 70& 70& 73& 74& 74& 73\\ \text{Weight (lb):}& 230& 220& 212& 190& 201& 245& 218& 260& 196\\ \hline\end{array}$

b. Which display - the table or the scatter plot - do you think is a more appropriate display of the data? Explain your reasoning.

Use a scatterplot and the linear correlation coefficient r to determinewhether there is a correlation between the two variables.
[x 1 2 2 5 6 y 2 5 4 15 15]

How to prove that a normally distributed assumption was fulfilled for the Two-Proportional z-test?
Select all relevant assumptions.
Residual graphs do not have a pattern
Scattered plots are linear
Scattered plots do not have a pattern
Normal sample distribution: npge5&n(1-p)ge5
Bell-shaped histograms
Histograms are uniform
Residual graphs are linear
Residual graphs are linear box plots have less than two outliers
Normal quantile plots do not have a pattern
Normal sample distribution: n,p,ge5,n,(1-p)ge5,n_2p_2ge5&91-p_2)ge5
Normal sample distribution: n'sge30 or populations usually are distributed

Make a scatterplot for each set of data. Tell whether the data show a linear association or a nonlinear association.
$(1,2),(7,9.5),(4,7),(2,4.2),(6,8.25),(3,5.8),(5,8),(8,10),(0,0)$

Below is a dot plot of the number of snapchats sent per day in Mr. Elkins