A coach is assessing the correlation between the number of hours spent practicing and the average number of points scored in a game. The table below shows the data: Number of hours spent practicing (x) 0 0.5 1 1.5 2 2.5 3 3.5 4 Score in the game (y) 5 8 11 14 17 20 23 26 29 Part A: Is there any correlation between the number of hours spent practicing and the score in the game?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)

a)  

We have a perfect linear relationship between the two variables

b)  

Nowe we can find the means for x and y like this:  

And we can find the intercept using this:  

So the line would be given by:  

c) For this case the slope indicates that for each increase of the number of hours in 1 unit we have an expected increase in the score about 6 units.

And the intercept 5 represent the minimum score expected for any game

Step-by-step explanation:

We have the following data:

Number of hours spent practicing (x) 0 0.5 1 1.5 2 2.5 3 3.5 4

Score in the game (y) 5 8 11 14 17 20 23 26 29

Part a

The correlation coefficient is given:

For our case we have this:

n=9  

We have a perfect linear relationship between the two variables

Part b

Where:  

With these we can find the sums:  

And the slope would be:  

Nowe we can find the means for x and y like this:  

And we can find the intercept using this:  

So the line would be given by:  

Part c

For this case the slope indicates that for each increase of the number of hours in 1 unit we have an expected increase in the score about 6 units.

And the intercept 5 represent the minimum score expected for any game

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step-by-step explanation:

the answer will be b x² +x-1

step-by-step explanation: