Chapter 1. Tutorial: Regression Residuals 2

Problem Statement

{0.30, 0.35, 0.40, 0.45, 0.50}
rand(0,4)
0.4[2]
{100,80,90,100,120,100,120,90,110,110}
rand(0,9)
120[4]
{250,210,220,230,250,180,270,230,250,260}
250[4]
{30,30,20,10,10,-40,10,30,10,20}
10[4]
{0.70, 0.65, 0.60, 0.55, 0.50}
{2,3,4,5,6,7}
rand(0,5)
3[1]
{10,10,10,10,10,10}
10[1]
{20,30,40,50,60,70}
30[1]
{50,15,20,25,35,25}
15[1]
{5,5,8,5,12,14}
5[1]
{3,2,5,4,7,6}
rand(0,5)
undefined[4]
{5,4,5,5,5,5}
5[4]
{10,5,10,10,10,10}
10[4]
{15,10,25,20,35,30}
35[4]
{30,20,50,40,70,60}
70[4]
{2,3,4,5,6,7}
rand(0,5)
3[1]
{130,140,150,160, 170,180}
1[1}
{80,85,90,95,100,105}
rand(0,5)
90[2]
{6,5,4,3,2,1}
4[2]
{5,4,5,5,5,5}
5[2]
{16,17,18,19,20,21}
18[2]
{80,85,90,95,100,105}
90[2]

Consider the following plot with 3 lines added:

Figure 1.1

Step 1

questions

Question 1

The line labeled (a) has a slope of

Correct.
Incorrect.

Step 2

Question 4

The equation of the line labeled (b) is

A.
B.
C.

Correct.
Incorrect.

Step 3

Question 7

Suppose that the least squares line is Y= 20 + 2X. A point has coordinates of (120, 250). The residual is ____

Correct.
Incorrect.

Question 8

The average residual in a least-squares fit is ____

Correct.
Incorrect.

Question 9

The least-squares line minimizes the squared residuals in the direction from the line to the points.

Correct.
Incorrect.