Using pH in Lakes as a Predictor of Mercury in Fish The FloridaLakes dataset includes data on 53 lakes in Florida. Two of the variables recorded were pH (acidity of the lake water) and AvgMercury (average mercury level for a sample of fish from each lake). We wish to use the pH of the lake water (which is easy to measure) to predict average mercury levels in fish, which is harder to measure. A scatterplot of the data is shown below and we see that the conditions for fitting a linear model are reasonably met. Computer output for the regression analysis is shown below. The regression equation is .

o= 4(i) +3

step-by-step explanation:

o is your output value and i is your input value. so, for example, if we stuck 7 in as our input, we would first multiply by 4 ( pemdas ), which equals 28. then we would add 3 to 28, for a total output of 31. this may not be a graph, but, it is a way to solve your formula..

i think it would be 42cm

3. (5x + 1) - (-10x + 6)

simplify the answer choice. combine like terms. remember to distribute the negative to the terms inside the second parenthesis. also remember that two negatives = one positive, and one of each sign = negative.

- (-10x + 6) = + 10x - 6

simplify. combine like terms:

5x + 1 + 10x - 6

5x + 10x + 1 - 6

15x - 5

∴ it is your answer

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i believe your answer is 99.7% of 7-year-old children are between 46.6 inches and 49.5 inches tall.