options: Summarize, represent, and interpret data on two categorical and quantitative variables.

Understand independence and conditional probability and use them to interpret data.

Use probability to evaluate outcomes of decisions.

Understand and evaluate random processes underlying statistical experiments.

Investigate patterns of association in bivariate data.

Calculate expected values and use them to solve problems.

Draw informal comparative inferences about two populations.

Interpret linear models.

Make inferences and justify conclusions from sample surveys, experiments, and observational studies.

Summarize and describe distributions.

Summarize, represent, and interpret data on a single count or measurement variable.

Investigate chance processes and develop, use, and evaluate probability models.

Use random sampling to draw inferences about a population.

Develop understanding of statistical variability.

Use the rules of probability to compute probabilities of compound events in a uniform probability model.
problem_activity: Problem 1
The scatterplot below displays the elevation and mean number of clear days per year of  U.S. cities. Two lines are shown on the scatterplot. Which represents the least squares line? Explain your choice.
[IMG]
Problem 2
Below is a scatter plot of foal birth weight and mare’s weight.
[IMG]
The equation of the least squares line for the data is
$${y=-19.6+0.248x}$$
, where
$$x$$
= mare’s weight (in kg) and
$$y$$
= foal’s birth weight (in kg).  What foal birth weight would you predict for a mare that weighs 520 kg?
How would you interpret the value of the slope in the least squares line?


correct_option_index: 0

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