For the following data in excel
The number of people in the household is recorded along with the weight of each type of garbage they throw out(in kilograms) weekly.
Suppose we wish to know does the number of people in the household have any influence on the amount of total garbage thrown by the family in a week.
1) State the explanatory and response variable
2) Create a scatterplot for your explanatory and response(make sure to properly label the plot)
3) Calculate the descriptive statistics (use appropriate units)
a) mean of household members and garbage total
b) Standard deviation of each
4) Calculate the strength of the linear relationship by calculating r
5) If the critical value is r=0.498 what is your conclusion about the relationship between number in household and the total garbage?
6) Find the equation of the least squares regression line.
7) Predict the expected trash weight for the week for a household of 9.
If you use excel only submit the full .xls file.
- 31 - Garbage Weight.xlsx
PAPER PLASTIC OTHER HH SIZE METAL GLASS FOOD YARD TEXTILE TOTAL All values in Kg 2.41 0.27 0.86 1.04 0.38 0.05 4.66 10.76 1.09 0.00 0.46 2.34 19.96 1.04 7.57 1.41 3.46 3.68 2.19 4.52 4.43 0.24 0.50 3.60 27.60 2.57 9.55 4.92 2.98 0.63 2.26 12.65 38.11 3.02 8.82 2.83 1.50 8.72 2.19 6.31 6.30 0.15 0.55 2.18 27.90 21.90 2.10 6.96 1.81 2.49 1.46 4.58 0.36 2.14 1.93 6.83 0.85 0.51 8.82 0.07 0.60 2.22 21.83 49.27 3.57 11.42 3.05 5.81 9.62 4.76 0.21 10.83 2.32 16.08 3.42 1.96 4.41 0.13 0.81 4.14 33.27 1.89 6.38 2.10 17.67 2.73 3.86 0.66 0.25 35.54 3.26 13.05 2.93 3.21 9.31 0.70 0.37 11.61 44.44 3.99 11.36 2.44 4.94 3.59 13.45 4.25 1.15 45.17 15.09 2.17 3.10 5.36 0.74 0.42 4.15 33.07 2.04 10.35 0.99 2.80 1.41 1.39 1.47 0.82 0.44 1.03 2.00 5.21 7.06 6.14 0.20 14.43 44.44 2.96 6.44 1.50 5.86 0.93 2.03 2.52 1.37 0.27 9.65 24.13 37.60 2.43 11.08 2.97 1.74 1.75 14.70 0.39 2.54 2.97 12.43 2.04 3.99 5.64 0.22 2.47 9.20 38.96 1.42 6.05 0.65 6.26 1.93 0.00 0.86 0.00 17.17 3.60 13.61 2.13 3.52 6.46 0.00 0.96 1.32 31.60 ANNOWAR 4.48 6.98 0.63 2.01 6.72 2.00 0. 11 0.18 23.11 1.36 14.33 1.53 2.21 5.76 0.58 0.17 1.62 27.56 0.25 9.72 0.02 0.46 0.40 30.96 2.11 13.31 4.69 0.41 0.15 0.16 0.00 0.00 4.08 3.27 0.09 0.00 0.03 23.22 2.02 6.67 1.45 6.85 5.52 0.00 0.68 3.27 17.65 2.68 2.33 11.92 0.83 0.28 4.03 42.99 12.73 3.53 5.45 4.68 0.00 0.67 19.89 51.90 4.95 1.00 9.83 1.49 2.04 4.76 0.42 0.54 0.12 20.20 1.48 36.80 1.55 16.39 2.31 4.98 7.85 2.04 0.20 1.41 6.33 0.92 3.54 2.90 3.85 0.03 0.04 19.02 1.05 9.19 0.89 1.06 2.87 0.33 0.01 0.03 15.43 0.80 2.70 5.09 0.64 0.05 0.71 20.71 1.31 9.41 0.72 1.14 3.17 0.00 0.02 0.01 17.01 2.50 9.45 2.35 12.32 2.66 12.24 2.40 7.87 4.73 0.78 45.35 3.69 20.12 4.37 5.67 13.20 0.00 1.15 1.17 49.37 0.63 0.00 18.06 O W N N Q O N N N N N O A N N N WA W -Of 3.61 7.72 0.92 2.43 2.07 0.68 6.16 1.40 4.02 4.00 0.30 0.04 0.00 17.41 1.49 1.36 7.98 1.45 6.45 4.27 0.02 0.12 2.02 23.67 1.73 9.64 1.68 1.89 1.87 0.01 1.73 0.58 19.13 1.53 1.78 8.13 0.36 0.12 0.05 20.99 0.94 8.08 1.33 0.59 21.18 10.99 1.44 2.93 3.51 0.00 0.39 1.44 4.21 4.73 0.64 0.49 2.62 13.11 1.82 29.06 14.95 1.25 3.26 1.36 2.89 3.34 2.69 0.00 0.16 1.65 0.38 0.99 0.77 0.34 0.04 0.00 4.43 0.26 4.41 10.00 1.74 1.93 1.14 0.92 0.08 4.60 24.82 20.80 8.96 3.61 1.45 0.09 1.12 3.22 2.35 0.00 1.86 9.46 2.30 2.53 6.54 0.00 0.65 2.45 25.79 1.14 0.92 14.62 5.88 1.12 0.00 0.04 1.76 3.76 2.03 28.41 2.83 8.26 2.88 1.32 5.14 5.60 0.35 12.45 2.13 2.64 4.59 1.07 0.41 1.14 27.17 2.74 12.33 0.12 15.65 4.63 10.58 5.28 2.94 2.94 54.47 0.59 13.12 1.70 5.87 1.48 1.79 1.42 0.00 0.27 3.29 8.78 3.36 3.99 10.44 0.90 1.71 13.30 45.77 11.03 2.83 4.44 3.00 4.30 1.95 6.02 34.79 1.22 NNANAU VACOWOWWAS 3.20 12.29 2.87 9.25 5.91 1.32 1.87 0.55 37.26 3.09 20.58 2.96 4.02 16.81 0.47 1.52 2.13 51.58 1.46 24.81 2.58 1.61 1.38 5.01 0.00 0.21 1.67 9.92 1.58 1.59 9.96 0.13 0.20 1.13 26.18 0.85 3.45 1.15 0.85 3.89 0.00 0.02 1.04 11.25 1.52 9.09 1.28 8.87 4.83 0.00 0.95 1.61 28.15 .37 3.69 0.58 3.64 1.78 0.08 0.00 0.00 11.14 1.32 2.61 0.74 3.03 3.37 0.17 0.00 0.46 11.70
