Which two structures produce energy that cells can use?
To lose 5 pounds a month, a person should plan to be active for hours a week.
Use the trend line for the data in the scatterplot to make a prediction. About how many pounds were lost per month with 4 hours of weekly aerobic activity?
A person who is active for 8 hours weekly could expect to lose pounds a month.
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Compare and contrast interpolations and extrapolations based on a scatterplot.
Interpolations and extrapolations are both methods used to make predictions based on a scatterplot's line of best fit. An interpolation is a prediction that lies within the range of the existing data points (the cluster), while an extrapolation is a prediction for a value that lies outside the range of the observed data. Consequently, interpolations are considered more reliable, whereas extrapolations carry more risk because they assume that the observed trend will continue indefinitely.
Kardal used the trend line to predict that a man 72 inches tall would wear about a size 10.5 shoe. What can be concluded about this prediction? Check all that apply.
Ramona determined that her answer was incorrect because a man who is –17.52 inches tall does not make any sense. What was Ramona’s mistake?
Explain how to use the regression calculator to make a reasonable prediction given a data table.
To use a regression calculator for predictions, first identify the independent (x) and dependent (y) variables in the data table. Enter the data pairs into the calculator to generate the regression equation. Then, substitute a known value into this equation and simplify to calculate the predicted value for the other variable.
Which did your explanation include? Check all that apply.
Sample Answer: Given bivariate data, first determine which is the independent variable, x, and which is the dependent variable, y. Enter the data pairs into the regression calculator. Substitute the value for one variable into the equation for the regression line produced by the calculator, and then predict the value of the other variable. Which did your explanation include? Check all that apply.Enter data into the regression calculator.Determine the regression equation.Substitute the correct va
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