A student is assessing the correlation between the average number of hours of internet browsing and average score on a math test. The table below shows the data: Number of hours of internet browsing (x) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Score on math test (y) 95 94 93 92 91 90 89 88 87 86 Part A: Is there any correlation between the average number of hours of internet browsing and average score on the math test? Justify your answer. (4 points) Part B: Write a function which best fits the data. (3 points) Part C: What does the slope and y-intercept of the plot indicate? (3 points 100 POINTS AND BRAINLIEST

A) yes, there is a clear correlation: "The more hours the Internet browsing, the lower the score in the math test."

B)  y = -2 x + 95

C) slope is: number of units of test score that go down for every browsing hour

y-intercept is: the maximum test score reported

Step-by-step explanation:

Part A)

There is clearly a correlation between the number of hours of Internet browsing and the scores on a math test. The more hours the Internet browsing, the lower the score in the math test. If we plot the data in pairs (x, y) we observe a clear tendency with the shape of a line (representing the scores) going down as the number of hours of Internet browsing increases. (See attached image)

Part B)

We can run a regression analysis on these points, or simple observe that for every half hour increase of browsing time, the scores go down in one unit.

The equation for this line of best fit is given by:

y = - 2 x + 95

being "x" the number of hours of Internet browsing, and "Y" the math test scores.

the slope "-2" is the number of units of test score that go down for every browsing hour.

The y=intercept is the maximum test score (95) reported

.there can be infinite values of m and n that can satisfy the above equation. for each value of m of m or n. there maybe infinite sets of solution for the above

step-by-step explanation:

32/80  

91/140

the last one 54 doesn't go into 45. 54/100 ?

step-by-step explanation: