The table below shows britney's distance, in miles, from her destination after different time intervals in hours: time (hours) (x) 2 4 1 3 6 5 7 distance from destination (miles) (y) 1,000 880 1,060 940 760 820 690 what is the correlation coefficient for the data, and what does it represent? 0; it represents no correlation between x and y 0.999; it represents a linear positive correlation between x and y −0.999; it represents a linear negative correlation between x and y 0.999; it represents a linear negative correlation between x and y

It represents a linear positive correlation between x and y −0. 999.

Given

The table shows Britney's distance, in miles, from her destination after different time intervals in hours:

Time (hours) (x) 2 4 1 3 6 5 7

Distance from destination (miles) (y) 1,000 880 1,060 940 760 820 690

What is the correlation coefficient?

A number between +1 and −1 is calculated so as to represent the linear interdependence of two variables or sets of data.

Then,

The correlation coefficient for the data, and what does it represent is;

It represents no correlation between x and y.

0.999; Represents a linear positive correlation between x and y.-0.999; represents a negative correlation between x and y.0.999; it represents a negative correlation between x and y.

Hence, it represents a linear positive correlation between x and y −0. 999.

To know more about the correlation coefficient click the link given below.

link

r = -0.9997  

Step-by-step explanation:

A statistics calculator gives the value

r = -0.9997

You can see in the graph below that it represents an excellent negative correlation between x and y.

Every point appears to be exactly on the regression line .

Using a table of values, the outputs of f(x) for whole numbers are 0, 1, 4, 9, 16, 25, 36, and so on. For the same input values, g(x) has outputs of 1, 2, 4, 8, 16, 32, and 64. Continuing to double the output each time results in larger outputs than those of f(x). The exponential function, g(x), has a constant multiplicative rate of change and will increase at a faster rate than the quadratic function.

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