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My Notes Ask Your The invasive diatom species Didymosphenia geminata has the pot

ID: 3365363 • Letter: M

Question

My Notes Ask Your The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colonization behavior. One aspect of particular interest was whether -colony density was related torock surface area. The article contained a scatterplot and summary of a regression analysis. Here is representative data 50 71 55 50 33 58 79 26 V 161 1938 57 31 11 14 44 16 69 44 37 70 20 45 49 y 278 47 180 22 52 194 34 (a) Fit the simple linear regression model to this data. (Round your numerical values to three decimal places.) Predict colony density when surface area 70 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residua Predict colony density when surface area 71 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residual How do the residuals compare? O The residuals for both points are negative O The residuals for both points are positive. O The residual for the first point is positive, while the residual for the second point is negative O The residual for the first point is negative, while the residual for the second point is positive (b) Calculate the coefficient of determination. (Round your answer to three decimal places.)

Explanation / Answer

Regression Equation is

Y = bX + a

b = (NXY - (X)(Y)) / (NX2 - (X)2)

      a = Mean of Y – b* Mean of X

Sr. No.

x

y

x*y

x^2

1

50

161

8050

2500

2

71

1938

137598

5041

3

55

57

3135

3025

4

50

31

1550

2500

5

33

11

363

1089

6

58

14

812

3364

7

79

44

3476

6241

8

26

16

416

676

9

69

278

19182

4761

10

44

47

2068

1936

11

37

180

6660

1369

12

70

22

1540

4900

13

20

52

1040

400

14

45

194

8730

2025

15

49

34

1666

2401

Sum

756

3079

196286

42228

Average

50.4

205.2667

   b = (15*196286 – 756*3079) / (15*42228 – (756^2))

       = 9.963254

   a = 205.2667 – 9.963254*50.4

      = - 296.881

Answer A

          Y = 9.963254*X – 296.881.

For Surface Area 70

         Colony Density y(cap) = 9.963254*70 – 296.881

                                         = 400.546.

Corresponding Residual is given by Y - Y(cap)= 22 – 400.546

                                                                          = -378.546.

For Surface Area 71

         Colony Density Y(cap)= 9.963254*71 – 296.881

                                         = 410.5097.

Corresponding Residual is given by Y - Y(cap)= 1938 – 400.546

                                                                          = 1527.49.

The Residual for the first point is negative and the residual for the second point is positive.

Answer B

Sr. No.

x

y

x*y

x^2

Y(cap)

(Y(cap)-Y(mean))^2

(Y-Y(mean))^2

1

50

161

8050

2500

201.28

15.88

1959.54

2

71

1938

137598

5041

410.51

42124.70

3002364.80

3

55

57

3135

3025

251.10

2100.48

21983.00

4

50

31

1550

2500

201.28

15.88

30368.87

5

33

11

363

1089

31.91

30053.90

37739.54

6

58

14

812

3364

280.99

5733.63

36582.94

7

79

44

3476

6241

490.22

81195.97

26006.94

8

26

16

416

676

-37.84

59099.26

35821.87

9

69

278

19182

4761

390.58

34342.21

5290.14

10

44

47

2068

1936

141.50

4065.95

25048.34

11

37

180

6660

1369

71.76

17824.28

638.40

12

70

22

1540

4900

400.55

38134.19

33586.67

13

20

52

1040

400

-97.62

91738.06

23490.67

14

45

194

8730

2025

151.47

2894.61

126.94

15

49

34

1666

2401

191.32

194.56

29332.27

Sum

756

3079

196286

42228

409533.57

3310340.93

Average

50.4

205.2667

b

9.963254

a

-296.881

Coefficient of Determination is R^2 = (Sum of Squares of Regression)/(Sum of Squares Total)

R^2 = SSR/SST
                                                       SSR = (Y(cap)-Y(mean))^2

                                                       SST =   (Y-Y(mean))^2

R^2 = 409533.57/3310340.93

        = 0.123713.

      

Regression Equation is

Y = bX + a

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