Answer:
5/6
Step-by-step explanation:
Change in y over change in x
A scatterplot has a positive, linear correlation means that the relationship x and y is positive and increasing with equal changes in both x and y.
For example there will be positive linear correlation between height and weight. If height will increase then weight will also increase. So, height and weight is positively correlated to each other.
And if the changes of height as well as change of weight will be equal then it will be linear also. Like if height of a person is increasing as 120 cm, 122 cm, 124 cm and so on and their corresponding weight is 50 kg, 51 kg, 52 kg etc then it's showing a positive, linear correlation.
Answer:
y = 120
Step-by-step explanation:
If y = 32 when x = 8, then <em>y</em> is 4 times the number of <em>x</em>. If x = 30, then (4)30 = 120.
Answer:
A) can be used to conduct a test about a hypothesized population regression function slope.
Step-by-step explanation:
A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In Mathematics, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.
The confidence interval for the sample regression function slope can be used to conduct a test about a hypothesized population regression function slope.