Answer:
x=70
Step-by-step explanation:
it's 70 because 50 and 20 is proportional to x
Answer:
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
Step-by-step explanation:
In a regression class ; If extremely influential outlying cases are detected in a Data set, discarding this influential outlying cases is the right way to go about it
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
The statement ' educators should ensure math instruction is only taught through structured activities rather than through everyday situations and routines is True. Option A
<h3>Ways to improve mathematics education</h3>
They include;
- Using hands-on learning methods
- Integration of mathematics game
- Connecting math concepts to everyday life
- Allow students to explain their reasoning
- Rewarding students progress
Thus, the statement ' educators should ensure math instruction is only taught through structured activities rather than through everyday situations and routines is True. Option A
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Answer:
you got this your smart
Step-by-step explanation: