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First Linear Relationship: Y=141-1.4x Second Linear Relationship: Y=139-1.3x Whe

ID: 3244976 • Letter: F

Question

First Linear Relationship: Y=141-1.4x

Second Linear Relationship: Y=139-1.3x

Where: x = Average Outdoor Temperature

y= Monthly Heating Bill

1 )Using the First Linear Relationship equation and the chart below, determine the sum of the squared residuals for the First Linear Relationship.

Avr. Outdoor Temp

Observed y

Fitted y

Residual

(Residual)2

45

80

32

95

25

110

30

90

35

85

=

2 )Using the Second Linear Relationship equation and the chart below, determine the sum of the squared residuals for the Second Linear Relationship.

Avr. Outdoor Temp

Observed y

Fitted y

Residual

(Residual)2

45

80

32

95

25

110

30

90

35

85

=

3) Based on the calculations of the Sum of Squared Residuals from Parts A and B, Which equation is a better fit for the given data? Why (be brief)?

Avr. Outdoor Temp

Observed y

Fitted y

Residual

(Residual)2

45

80

32

95

25

110

30

90

35

85

=

Explanation / Answer

We know that,   Residual = (Observed y) - (Fitted y) __________________(1)

1)

Given that, Linear Relationship: Fitted Y=141-1.4X ____________________(2)

then table by abve linear relationship equation (1) and (2)

Avr. Outdoor Temp

x

Observed

y

Fitted

y

Residual

(Residual)2

45

80

78

2

4

32

95

96.2

-1.2

1.44

25

110

106

4

16

30

90

99

-9

81

35

85

92

-7

49

-11.2

151.44

2)

Given that, Linear Relationship: Fitted Y=139-1.3X ____________________(3)

then table by abve linear relationship equation (1) and (3)

Avr. Outdoor Temp

x

Observed

y

Fitted

y

Residual

(Residual)2

45

80

80.5

-0.5

0.25

32

95

97.4

-2.4

5.76

25

110

106.5

3.5

12.25

30

90

100

-10

100

35

85

93.5

-8.5

72.25

-17.9

190.51

3)

   Based on the calculations of the Sum of Squared Residuals from Part A equation is a better fit for the given data Part B equation, because, the Sum of Squared Residuals of Part B is higher than Part A, i.e.,

(Sum of Squared Residuals of Part B) > (Sum of Squared Residuals of Part A)

190.51 > 151.44

As per Sum of Squared Residuals, the smaller the Sum of Squared Residuals, the better your equation is a better fit for the given data; The greater the Sum of Squared Residuals, the poorer your equation is a better fit for the given data.

Avr. Outdoor Temp

x

Observed

y

Fitted

y

Residual

(Residual)2

45

80

78

2

4

32

95

96.2

-1.2

1.44

25

110

106

4

16

30

90

99

-9

81

35

85

92

-7

49

SUM =

-11.2

151.44