Determine the test used for the following problem: Is there a significant relationship between ice-cream sales and outside temperature? A sample of 100 days of the Michigan summer produced a .976 correlation between ice-cream cone sales at a local parlor and the average temperature of the day.
Correlation Coefficient, r = .976
Interpret Linear Relationship between 2
variables
Individuals: Ice cream, temperature
Variable: Increase in ice cream sales
Type of Variable: Quantitative
Explanatory: Temperature [degrees Fahrenheit]
Response: Ice cream cone sales [dollars]
Generally, it Predicts as temperature continues to increase, icecream sales will also increase
Slope of line shows how steep the relationship of our variables is. The slope also demonstrates a positive correlation between the weather and ice cream sales
y-intercept
explanation
Our y-intercept shows where our line crosses the y axis
Correlation
Coefficiant
This means how strong is a correlation between ice cream sales and
temp.
Coefficient of Determintion r^2
This means there regression line is strong
o Any lurking variables that may influence the results: Vacation could be a factor.
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