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Refer to Exercise 11.3. Find the equations of the lines that pass through the points listed in Exercise 11.1.

Short Answer

Expert verified
  1. y = x
  2. y = 3 – x
  3. y=65+x5
  4. y=154+9x8

Step by step solution

01

Introduction

Any x-y coordinate plane can be used to graph equations involving one or two variables. The following guidelines are valid in general: The coordinates of a point on the graph of an equation make the equation true, if a point's coordinates result in a true statement for an equation, the point is on the equation's graph.

02

Determine the equation of the line passing through the point (1, 1) and (5, 5).

Equation of straight line:

y=β0+β1x.............1

If line passing through, (1, 1).

1=β0+β1(1)..............2

If line passing through, (5, 5).

5=β0+β1(5)..............3

Solve equation (2) & (3) simultaneously,

β0+β1-1=β0+β15-5β1-1=5β1-54β1=4β1=1

Therefore, put β1=1 in equation (2)

1=β0+1(1)1=β0+1β0=0

Now, put β1=1and β1=0 in equation (3)

role="math" localid="1668667810631" y=β0+β1xy=0+1xy=x

Therefore, the required equation is y=x.

03

Determine the equation of the line passing through the point (0, 3) and (3, 0).

Equation of straight line:

y=β0+β1x..............1

If line passing through, (0, 3).

3=β0+β1(0)β0=3

If line passing through, (3, 0).

0=β0+β1(3)............2

Therefore, put β0=3 in equation (2)

0=3+3β13β1=-3β1=-1

Now, put β1=-1and β0=3 in equation (3)

y=β0+β1xy=3+-1xy=3-x

Therefore, the required equation isrole="math" localid="1668668119632" y=3-x.

04

Determine the equation of the line passing through the point (-1, 1) and (4, 2).

Equation of straight line:

y=β0+β1x..............1

If line passing through, (-1, 1).

1=β0+β1-1.........2

If line passing through, (4, 2).

2=β0+β14.........3

Solve equation (2) & (3) simultaneously,

β0+β1(-1)-1=β0+β1(4)-2-β1-1=4β1-24β1+β1=2-15β1=1β1=15

Therefore, put β1=15 in equation (2)

1=β0+15(-1)1=β0-15β0=1+15β0=5+15β0=65

Now, put β0=15 and β0=65 in equation (3)

y=β0+β1xy=65+15xy=65+x5

Therefore, the required equation isy=65+x5

05

Determine the equation of the line passing through the point (-6, -3) and (2, 6).

Equation of straight line:

y=β0+β1x..............1

If line passing through, (-6, -3).

-3=β0+β1(-6).........2

If line passing through, (2, 6).

6=β0+β1(2).........3

Solve equation (2) & (3) simultaneously,

β0+-6β1+3=β0+β12-6-6β1+3=2β1-66β1+2β1=6+38β1=9β1=98

Therefore, put β1=98 in equation (2)

-3=β0+98-6-3=β0-548β0=548-3β0=54-248β0=308β0=154

Now, put β1=98and β0=154 in equation (3)

y=β0+β1xy=154+98xy=154+9x8

Therefore, the required equation is y=154+9x8.

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Most popular questions from this chapter

Refer to Exercise 11.14 (p. 653). Calculate SSE and s for the least-squares line. Use the value of s to determine where most of the errors of prediction lie.

Refer to Exercise 11.14. After the least-squares line has been obtained, the table below (which is similar to Table 11.2) can be used for (1) comparing the observed and the predicted values of y and (2) computing SSE.

a. Complete the table.

b. Plot the least-squares line on a scatterplot of the data. Plot the following line on the same graph:

y^= 14 - 2.5x.

c. Show that SSE is larger for the line in part b than for the least-squares line.

Voltage sags and swells. The power quality of a transformer is measured by the quality of the voltage. Two causes of poor power quality are "sags" and "swells." A sag is an unusual dip and a swell is an unusual increase in the voltage level of a transformer. The power quality of transformers built in Turkey was investigated in Electrical Engineering (Vol. 95, 2013). For a sample of 103 transformers built for heavy industry, the mean number of sags per week was 353 and the mean number of swells per week was 184. Assume the standard deviation of the sag distribution is 30 sags per week and the standard deviation of the swell distribution is 25 swells per week.

a. For a sag distribution with any shape, what proportion of transformers will have between 263 and 443 sags per week? Which rule did you apply and why?

b. For a sag distribution that is mound-shaped and symmetric, what proportion of transformers will have between 263 and 443 sags per week? Which rule did you apply and why?

c. For a swell distribution with any shape, what proportion of transformers will have between 109 and 259 swells per week? Which rule did you apply and why?

d. For a swell distribution that is mound-shaped and symmetric, what proportion of transformers will have between 109 and 259 swells per week? Which rule did you apply and why?

Repair and replacement costs of water pipes. Refer to the IHS Journal of Hydraulic Engineering (September 2012) study of water pipes, Exercise 11.21 (p. 655). Refer, again, to the Minitab simple linear regression printout (p. 655) relating y = the ratio of repair to replacement cost of commercial pipe to x = the diameter (in millimeters) of the pipe.

a. Locate the value of s on the printout.

b. Give a practical interpretation of s.

Motivation and right-oriented bias. Evolutionary theory suggests that motivated decision makers tend to exhibit a right-oriented bias. (For example, if presented with two equally valued detergent brands on a supermarket shelf, consumers are more likely to choose the brand on the right.) In Psychological Science (November 2011), researchers tested this theory using data on all penalty shots attempted in World Cup soccer matches (totaling 204 penalty shots). The researchers believed that goalkeepers, motivated to make a penalty-shot save but with little time to make a decision, would tend to dive to the right. The results of the study (percentages of dives to the left, middle, or right) are provided in the table. Note that the percentages in each row corresponding to a particular match situation add to 100%. Use graphs to illustrate the distribution of dives for the three-match situations. What inferences can you draw from the graphs?

Source: Based on M. Roskes et al., "The Right Side? Under Time Pressure, Approach Motivation Leads to Right-Oriented Bias," Psychological Science, Vol. 22, No. 11, November 2011 (adapted from Figure 2)11

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