The manager of an amusement park recorded the number of visitors to the park. There were 800 visitors on Saturday, and 1,100 vis
1 answer:
The percentage change from the number of park visitors on Saturday
to the number of park visitors on Sunday is 37.5%
Step-by-step explanation:
The percentage of change from A to B is:
The percentage of change = × 100%
The manager of an amusement park recorded the number of visitors
to the park
- There were 800 visitors on Saturday
- There were 1,100 visitors on Sunday
We need to find the percentage change from the number of park
visitors on Saturday to the number of park visitors on Sunday
∵ The number of park visitors on Saturday = 800
∵ The number of park visitors on Sunday = 1,100
- Use the rule of the percentage change above
∴ The percentage change from the number of park visitors on
Saturday to the number of park visitors on Sunday =
× 100%
∴ The percentage of change = 37.5%
The percentage change from the number of park visitors on Saturday
to the number of park visitors on Sunday is 37.5%
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Answer:
The value of the coefficient of determination is 0.263 or 26.3%.
Step-by-step explanation:
<em>R</em>-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.
A high R² value or an R² value approaching 1.0 would indicate a high degree of explanatory power.
The R-squared value is usually taken as “the percentage of dissimilarity in one variable explained by the other variable,” or “the percentage of dissimilarity shared between the two variables.”
The R² value is the square of the correlation coefficient.
The correlation coefficient between heights (in inches) and weights (in lb) of 40 randomly selected men is:
<em>r</em> = 0.513.
Compute the value of the coefficient of determination as follows:
Thus, the value of the coefficient of determination is 0.263 or 26.3%.
This implies that the percentage of variation in the variable height explained by the variable weight is 26.3%.