Sandra is showing her work in simplifying (3.3 − 4.2) − 2.8 + 5.7. identify any error in her work or reasoning. step 1: (3.3 − 4.2) − 2.8 + 5.7 step 2: 3.3 + (− 4.2 − 2.8) + 5.7 (distributive property) step 3: 3.3 − 7 + 5.7 step 4: 3.3 + 5.7 − 7 (commutative property) step 5: 9 − 7 = 2

Sandra makes an error in second step reasoning .

Step-by-step explanation:

We are given that Sandra is showing her work in simplifying

(3.3-4.2)-2.8+5.7

We have to find the error in her work or reasoning.

Step 1:(3.3-4.2)-2.8+5.7

Step 2:3.3+(-4.2)-2.8)+5.7

Reason: Associative property

Step 3:3.3-7+5.7

Step 4:3.3+5.7-7

Reason: Commutative property

Step 5:9-7=2

Hence, Sandra makes an error in second step reasoning .

Sandra uses distributive property instead of associative property in step 2.

 the known variable; the to-be-predicted variable

Step-by-step explanation:

In statistics, linear regression is a technique to model the relationship between two variables ( one independent and other dependent).

It requires some previous data to plot a best fit line.

It is used to predict the values for dependent variable for each independent variable.

Here, independent variable = known variable and dependent variable = is to be predicted

Hence, Linear regression describes the extent to which the known variable predicts the to-be-predicted variable.