8. Trace metals in drinking water affect the flavor of the water, and un-usually high concentration can pose a health hazard. Table 1 shows trace-metal concentrations (zinc, in mg/L) for both surface water and bottom water at six different river locations. Our aim is to see if surface water concentration (x) is predictive of bottom water concentration (y). a. State the independent and dependent variable? b. State the Ho y HA c. Draw a scatter diagram to show a possible association between the concentrations and check to see if a linear model is justified. d. Calculate the correlation coefficient and provide your interpretation. e. Find the regression equation and provide your interpretation.

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8. Trace metals in drinking water affect the flavor of the water, and un-usually high
concentration can pose a health hazard. Table 1 shows trace-metal concentrations (zinc, in
mg/L) for both surface water and bottom water at six different river locations. Our aim is to
see if surface water concentration (x) is predictive of bottom water concentration (y).
a. State the independent and dependent variable?
b. State the Ho y HA
c. Draw a scatter diagram to show a possible association between the concentrations and
check to see if a linear model is justified.
d. Calculate the correlation coefficient and provide your interpretation.
e. Find the regression equation and pro your interpretation.
Table 1
1123456
Location
Bottom
0.430
0.266
0.567
0.531
0.707
0.716
Surface
0.415
0.238
0.390
0.410
0.605
0.609
I
Transcribed Image Text:8. Trace metals in drinking water affect the flavor of the water, and un-usually high concentration can pose a health hazard. Table 1 shows trace-metal concentrations (zinc, in mg/L) for both surface water and bottom water at six different river locations. Our aim is to see if surface water concentration (x) is predictive of bottom water concentration (y). a. State the independent and dependent variable? b. State the Ho y HA c. Draw a scatter diagram to show a possible association between the concentrations and check to see if a linear model is justified. d. Calculate the correlation coefficient and provide your interpretation. e. Find the regression equation and pro your interpretation. Table 1 1123456 Location Bottom 0.430 0.266 0.567 0.531 0.707 0.716 Surface 0.415 0.238 0.390 0.410 0.605 0.609 I
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