Answer:
Sarah had 16 stickers. Al gave her 25 more. How many stickers does Sarah have now? 41
Step-by-step explanation:
Answer:
A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
Step-by-step explanation:
John is predicting test scores of students on the basis of their home work averages and he get the following regression equation
y=0.2 x +82.
Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.
The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.
We are given that correlation coefficient r= 0.82.
coefficient of determination R²=0.82²=0.6724 or 67.24%.
Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.
Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
<h2>Multiply 50 * 14 =700 so the answer is <em><u>700</u></em></h2><h2><em>Hope this helps!</em></h2>
Answer:
£1.87
Step-by-step explanation:
100 pennies is equal to a pound.
You divide the pennies to 100 and your answer will be converted to pounds.
187*100=1.87
£1.87
