rita is starting a running program. the table shows the total number of miles she runs in different weeks…

rita is starting a running program. the table shows the total number of miles she runs in different weeks. what is the equation of the line of best fit for the data? state each number to the thousandths place. y ≈ x +

rita is starting a running program. the table shows the total number of miles she runs in different weeks. what is the equation of the line of best fit for the data? state each number to the thousandths place. y ≈ x +

Answer

Explanation:

Step1: Calculate the means of x and y

Let (x) be the week number and (y) be the miles - run. (n = 6) (\bar{x}=\frac{1 + 2+4 + 6+8 + 10}{6}=\frac{31}{6}\approx5.167) (\bar{y}=\frac{5 + 8+13 + 15+19 + 20}{6}=\frac{80}{6}\approx13.333)

Step2: Calculate the slope (m)

The formula for the slope (m) of the line of best - fit is (m=\frac{\sum_{i = 1}^{n}(x_{i}-\bar{x})(y_{i}-\bar{y})}{\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}}) (\sum_{i = 1}^{6}(x_{i}-\bar{x})(y_{i}-\bar{y})=(1 - 5.167)(5 - 13.333)+(2 - 5.167)(8 - 13.333)+(4 - 5.167)(13 - 13.333)+(6 - 5.167)(15 - 13.333)+(8 - 5.167)(19 - 13.333)+(10 - 5.167)(20 - 13.333)) (=(-4.167)(-8.333)+(-3.167)(-5.333)+(-1.167)(-0.333)+(0.833)(1.667)+(2.833)(5.667)+(4.833)(6.667)) (=34.729+16.895 + 0.389+1.389+16.078+32.229) (=101.719) (\sum_{i = 1}^{6}(x_{i}-\bar{x})^{2}=(1 - 5.167)^{2}+(2 - 5.167)^{2}+(4 - 5.167)^{2}+(6 - 5.167)^{2}+(8 - 5.167)^{2}+(10 - 5.167)^{2}) (=(-4.167)^{2}+(-3.167)^{2}+(-1.167)^{2}+(0.833)^{2}+(2.833)^{2}+(4.833)^{2}) (=17.364+10.029+1.362+0.694+8.026+23.358) (=60.833) (m=\frac{101.719}{60.833}\approx1.672)

Step3: Calculate the y - intercept (b)

We know that (y=mx + b), substituting (\bar{x}) and (\bar{y}) and (m) into the equation: (13.333=1.672\times5.167 + b) (13.333 = 8.638+b) (b=13.333 - 8.638=4.695)

Answer:

(y\approx1.672x + 4.695)