2. Classify the type of linear correlation you might expect with the following pairs of variables. Classify as either strong, moderate, weak, or no correlation. As well classify as positive, negative, or none.
Hours of lacrosse practice vs goals scored in a lacrosse game
Years without an accident vs driving insurance rates
Student’s average marks vs number of siblings in their families
1. Hours of lacrosse practice vs goals scored in a lacrosse game:
In general if player do more practice, they score more goals. Hence there is positive correlation between Hours of lacrosse practice and goals scored in a lacrosse game.
2. Years without an accident vs driving insurance rates:
If years without an accident increases then driving insurance rate decreases, hence there is negative correlation between Years without an accident and driving insurance rates.
3. Student’s average marks vs number of siblings in their families:
Students average marks does not depends upon the number of siblings. Hence there is no correlation between Student’s average marks and number of siblings in their families.
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