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Does the scatter plot appear linear? Strong or weak? Positive or negative?

Short Answer

Expert verified

The plot is linear with strong and the correlation is positive

Step by step solution

01

Given Information 

Given in the question is a graph,

02

Explanation

The points on a scatter plot clearly represent a straight line. Therefore, the plot is linear.

The nearer the information points reach to create a straight line when plotted, the more increased the correlation between the two variables, the stronger the connection. If the data points create a straight line proceeding from near the source out to high y-values, the variables are said to have a positive correlation.

Here, The points of the graph are very dense and there is no outlier. So the scatter plot is stronger.

According to the graph, it is in increasing order. Therefore, the correlation is positive.

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Most popular questions from this chapter

Is the following an example of a linear equation?

y=โ€“0.125โ€“3.5x

The data points for the graph from the third exam/final exam example are as follows: (1, 5), (2, 7), (2, 6), (3, 9), (4, 12), (4, 13), (5, 18), (6, 19), (7, 12), and (7, 21). Remove the outlier and recalculate the line of best fit. Find the value of ลท when x = 10.

The average number of people in a family that attended college for various years is given in Table 12.29.

a. Using โ€œyearโ€ as the independent variable and โ€œNumber of Family Members Attending Collegeโ€ as the dependent variable, draw a scatter plot of the data.

b. Calculate the least-squares line. Put the equation in the form of: \(\hat{y}=a+bx\)

c. Find the correlation coefficient. Is it significant?

The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of \(10\) countries.

a. Enter the data into your calculator and make a scatter plot.

b. Use your calculatorโ€™s regression function to find the equation of the least-squares regression line. Add this to your scatter plot from part a.

c. Explain in words what the slope and y-intercept of the regression line tell us.

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b. Draw a scatter plot of the data.

c. Does it appear from inspection that there is a relationship between the variables? Why or why not?

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