Researchers studying acid rain measured the acidity of precipitation in a Colorado wilderness area for 150 consecutive weeks. Acidity is measured by pH. Lower pH values show higher acidity. The researchers observed a linear pattern over time. They reported that the regression line

$$\widehat{pH} = 5.43 - 0.0053$$

(weeks) fit the data well. Identify the y intercept of the line and explain what it means in this setting.

Researchers studying acid rain measured the acidity of precipitation in a Colorado wilderness area for 150 consecutive weeks. Acidity is measured by pH. Lower pH values show higher acidity. The acid rain researchers observed a linear pattern over time. They reported that the least-squares regression line

pH=(5.43-0.0053 X weeks)

fit the data well.

What is the slope of the regression line? Explain clearly what this slope says about the change in the pH of the precipitation in this wilderness area.

Researchers studying acid rain measured the acidity of precipitation in a Colorado wilderness area for 150 consecutive weeks. Acidity is measured by pH. Lower pH values show higher acidity. The acid rain researchers observed a linear pattern over time. They reported that the least-squares regression line

pH=(5.43-0.0053 X weeks)

fit the data well.

According to the regression line, what was the pH at the beginning of the study (weeks =1)? At the end (weeks =150 )?

What is the fight-or-flight response?

a. Suppose you wanted to produce 1.00 L of a 3.50 M aqueous solution of

$$\mathrm { H } _ { 2 } \mathrm { SO } _ { 4 }$$

. (1) What is the solute? (2) What is the solvent? (3) How many grams of solute are needed to make this solution?

The ratio of the angle measures of a triangle is 1 : 2 : 3. Classify the triangle by its angle measures. F. Acute G. Obtuse H. Right I. Equiangular

What process causes crystallization of minerals from magma? A. cooling B. eruption C. evaporation D. melting

You use the same bar of soap to shower each morning. The bar weighs 80 grams when it is new. Its weight goes down by 6 grams per day on average. What is the equation of the regression line for predicting weight from days of use?

We expect a car's highway gas mileage to be related to its city gas mileage. Data for all 1198 vehicles in the government's recent Fuel Economy Guide give the regression line: predicted highway mpg = 4.62 + 1.109 (city mpg). Find the predicted highway mileage for a car that gets 16 miles per gallon in the city.

We expect a car's highway gas mileage to be related to its city gas mileage. Data for all 1198 vehicles in the government's recent Fuel Economy Guide give the regression line: predicted highway mpg = 4.62 + 1.109 (city mpg). What's the slope of this line? Interpret this value in context.

Determine whether the statement is true or false. Eigenvectors of a matrix that correspond to distinct eigenvalues are orthogonal.

Graph the function. Compare the graph with the graph of

$$y=x^2$$

.

$$y=4x^2+1$$

Factor each perfect square trinomial.

$$x ^ { 2 } - 10 x + 25$$

We expect a car's highway gas mileage to be related to its city gas mileage. Data for all 1198 vehicles in the government's recent Fuel Economy Guide give the regression line: predicted highway mpg = 4.62 + 1.109 (city mpg). What's the y intercept? Explain why the value of the intercept is not statistically meaningful.