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Activity 1 – Regression Analysis. MINITAB ASSIGNMENT Instructions: Select Graph

ID: 3390805 • Letter: A

Question

Activity 1 – Regression Analysis. MINITAB ASSIGNMENT

Instructions:

Select Graph -> Scatterplot… -> With Regression.

Enter Y and X variables names from your lists of values and click OK. Everytime i try to plug in the numbers for x and y, i get an error saying following input is not valid: y variable. the following is a number :8 please specify a single nontext column. How do i plug in my x and y's?

Click on the regression line. The tooltip will give you a regression equation. You can read the values of b0 and b1 from there as well.

For the plant emission data below for 11 potato plants, determine the following (write answers in provided sections):

PLANT WEIGHT (X)     QUANTITY OF VOLATILE COMPOUNDS (Y)

In grams                      In hundreds of nanograms

57                                            8.0

85                                            22.0

57                                            10.5

65                                            22.5

52                                            12.0

67                                            11.5

62                                            7.5

80                                            13.0

77                                            16.5

53                                            21.0

68                                            12.0

Write the regression equation                                                                                    

Write the values of the constant b0 and slope b1                                                       

Predict the quantity of volatile compounds emitted by a potato

plant that weights 75 grams

Explanation / Answer

Sol)

The fitted Regression is

y=a+bx

Where x is weight and y is quantity

From excel

From above analysis

The fitted regression equation is

y=3.523 +0.1628 (weight)

B) Where intercept (bo)= 3.523

and slope(b1) =0.1628

C) when x=75

then y= =3.523 +0.1628 (75)

y=15.733

Coefficients Standard Error t Stat Intercept 3.523688 10.29948909 0.342123 weight 0.162848 0.154717015 1.052557
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