Question

In: Statistics and Probability

Below are the average heights for American boys in 1990. Age (years) Height (cm) birth 50.8...

Below are the average heights for American boys in 1990.

Age (years) Height (cm)
birth 50.8
2 83.8
3 91.4
5 106.6
7 119.3
10 137.1
14 157.5

A.) Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.)

B.) Find the correlation coefficient r. (Round your answer to four decimal places.)

C.) Find the estimated average height for a one-year-old. (Use your equation from part (d). Round your answer to one decimal place.)

D.) Find the estimated average height for a eleven-year-old. (Use your equation from part (d). Round your answer to two decimal places.)

E.) Use the least squares line to estimate the average height for a fifty-four-year-old man. (Use your equation from part (d). Round your answer to one decimal place.)

F.) What is the slope of the least squares (best-fit) line? (Round your answer to three decimal places.)

Solutions

Expert Solution

 > # Entering the data > Age = c(1,2,3,5,7,10,14) > Height = c(50.8,83.8,91.4,106.6,119.3,137.1,157.5) > dataset = data.frame(Age,Height) >  >  > # Calculating the least square line > reg_line = lm(Height ~ Age, data = dataset) > summary(reg_line)  Call: lm(formula = Height ~ Age, data = dataset) Residuals: 1 2 3 4 5 6 7 -19.566 6.178 6.523 7.212 5.402 1.436 -7.185 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 63.1110 7.0528 8.948 0.000291 *** Age 7.2553 0.9522 7.619 0.000619 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 10.94 on 5 degrees of freedom Multiple R-squared: 0.9207, Adjusted R-squared: 0.9048 F-statistic: 58.05 on 1 and 5 DF, p-value: 0.0006191 # The fitted regression line is Y = 63.111 + 7.255*age   > #b) Correlation coefficient > cor(Height,Age) [1] 0.9595

C) The estimated average height for a one-year-old is

                 y = 63.111 + 7.255 = 70.4

D) The estimated average height for a eleven-year-old is

        y = 63.111 + 7.255*11 = 142.92

E) The least squares line to estimate the average height for a fifty-four-year-old man is

     y = 63.111 + 7.255*54 = 454.88

F) The slope of the best fitted line is 7.255


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