Question

Let xi = i for i = 1, 2, . . . , 15, and let...

Let xi = i for i = 1, 2, . . . , 15, and let the corresponding yi (i = 1, 2, . . . , 15) numbers be (in the order of indeces) 5, 15, 42, 57, 65, 68, 69, 83, 87, 98, 105, 108, 108, 108, 110. Calculate the least squares regression line for these data.

Homework Answers

Answer #1

Ans:

x y xy x^2
1 5 5 1
2 15 30 4
3 42 126 9
4 57 228 16
5 65 325 25
6 68 408 36
7 69 483 49
8 83 664 64
9 87 783 81
10 98 980 100
11 105 1155 121
12 108 1296 144
13 108 1404 169
14 108 1512 196
15 110 1650 225
Total 120 1128 11049 1240

slope,b=(15*11049-120*1128)/(15*1240-120^2)=7.2321

y-intercept,a=(1128-7.2321*120)/15=17.343

Regression equation:

y'=7.2321x+17.343

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let xi = i for i = 1, 2, . . . , 17, and let...
Let xi = i for i = 1, 2, . . . , 17, and let the corresponding yi (i = 1, 2, . . . , 17) numbers be (in the order of indeces) 5, 15, 42, 57, 65, 68, 69, 83, 87, 98, 105, 108, 108, 108, 110, 112, 116. Calculate the least squares regression line for these data. Find 95% CI for the quantities α, β, and σ^2 in the previous problem.
Xi 1 2 3 4 Yi 12 10 2 1 (a) Make a scatter plot of...
Xi 1 2 3 4 Yi 12 10 2 1 (a) Make a scatter plot of the four data points (b) Compute the least-squares linear regression (c) Plot the regression line over your scatter plot Show the values of b0 and b1
Consider the data. xi 3 12 6 20 14 yi 65 35 50 15 20 The...
Consider the data. xi 3 12 6 20 14 yi 65 35 50 15 20 The estimated regression equation for these data is ŷ = 70 − 3x. (a) Compute SSE, SST, and SSR using equations SSE = Σ(yi − ŷi)2, SST = Σ(yi − y)2, and SSR = Σ(ŷi − y)2. SSE = SST = SSR = (b) Compute the coefficient of determination r2. (Round your answer to three decimal places.) r2 = Comment on the goodness of fit....
a) Let Xi for i = 1,2,...n be random variables with E[Xi] = μi (not necessarily...
a) Let Xi for i = 1,2,...n be random variables with E[Xi] = μi (not necessarily independent). Show that E[∑ni =1 Xi] = [∑ni =1 μi]. Show from Definition b) Suppose that random variables Yi for i = 1, 2,...,n are independent and identically distributed withE[Yi] =γ(gamma) and Var[Yi] = σ2, Use part (a) to show that E[Ybar] =γ(gamma). (c) Suppose that random variables Yi for i = 1, 2,...,n are independent and identically distributed with E[Yi] =γ(gamma) and Var[Yi]...
Consider the data. xi 1 2 3 4 5 yi 4 7 6 10 13 The...
Consider the data. xi 1 2 3 4 5 yi 4 7 6 10 13 The estimated regression equation for these data is ŷ = 1.70 + 2.10x. (a) Compute SSE, SST, and SSR using equations SSE = Σ(yi − ŷi)2, SST = Σ(yi − y)2, and SSR = Σ(ŷi − y)2. SSE= SST= SSR= (b) Compute the coefficient of determination r2. r2= Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it...
Consider the data. xi 1 2 3 4 5 yi 3 7 4 10 12 The...
Consider the data. xi 1 2 3 4 5 yi 3 7 4 10 12 The estimated regression equation for these data is ŷ = 0.90 + 2.10x. (a)Compute SSE, SST, and SSR using equations SSE = Σ(yi − ŷi)2,SST = Σ(yi − y)2,and SSR = Σ(ŷi − y)2. SSE= SST= SSR= (b)Compute the coefficient of determination r2. r2= Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)...
Consider the data. xi 1 2 3 4 5 yi 3 7 4 10 12 The...
Consider the data. xi 1 2 3 4 5 yi 3 7 4 10 12 The estimated regression equation for these data is ŷ = 0.90 + 2.10x. (a) Compute SSE, SST, and SSR using equations SSE = Σ(yi − ŷi)2, SST = Σ(yi − y)2, and SSR = Σ(ŷi − y)2. SSE=SST=SSR= (b) Compute the coefficient of determination r2. r2 = Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is...
Consider the data. xi 1 2 3 4 5 yi 3 7 5 11 14 The...
Consider the data. xi 1 2 3 4 5 yi 3 7 5 11 14 The estimated regression equation for these data is ŷ = 0.20 + 2.60x. (a) Compute SSE, SST, and SSR using equations SSE = Σ(yi − ŷi)2, SST = Σ(yi − y)2, and SSR = Σ(ŷi − y)2. SSE = SST = SSR = (b) Compute the coefficient of determination r2. r2 = Comment on the goodness of fit. (For purposes of this exercise, consider a...
X1,...,X81 ⇠ N(0,1) and Y1,...,Y81 ⇠ N(3,2 ). For each i, Corr(Xi,Yi)= 1/2. Let Zi =...
X1,...,X81 ⇠ N(0,1) and Y1,...,Y81 ⇠ N(3,2 ). For each i, Corr(Xi,Yi)= 1/2. Let Zi = Xi + Yi. 1. Compute Var(Zi). 2. Approximate P [ Zi > 243]. (Explain your answer.)
Let X=2N={x=(x1,x2,…):xi∈{0,1}} and define d(x,y)=2∑(i≥1)(3^−i)*|xi−yi|. Define f:X→[0,1] by f(x)=d(0,x), where 0=(0,0,0,…). Prove that maps X onto...
Let X=2N={x=(x1,x2,…):xi∈{0,1}} and define d(x,y)=2∑(i≥1)(3^−i)*|xi−yi|. Define f:X→[0,1] by f(x)=d(0,x), where 0=(0,0,0,…). Prove that maps X onto the Cantor set and satisfies (1/3)*d(x,y)≤|f(x)−f(y)|≤d(x,y) for x,y∈2N.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT