Answer:
300. In this case, it's very easy to do this percentage inflation. Since 20 is a multiple of 100, and we want to know the 100%, you just multiply the 20 by 5 to make it 100. Along with this, you multiply the 60 by 5 as well, which gives you 300.
Answer:
1.2
Step-by-step explanation:
First, you cancel out 
to become 
Then that becomes 
Now, you convert the element to a decimal form to be 
Finally, you subtract them (because a negative plus a positive is subtraction) to get the final answer of 1.2
Hope this helps!
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
X^2 - 3x + 5
2^2 - 3(2) + 5
4 - 6 + 5
3
Answer:
27.9
Step-by-step explanation:
3*3.1 = height = 9.3
9.3 * 3
