When constructing the histogram, the intervals are selected in such a way that the width of each interval is the same and the gap between two intervals stays uniform throughout the histogram. This makes the data easy to visualize, easy to interpret and easy to understand.
From the given options, option B lists the intervals in an absurd order. First interval is from 0 to 3. There is no gap between first and second interval and the second interval is larger than the first. So these intervals cannot be the set of intervals of a histogram.
So, the answer to this question is option B
Answer:
The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).
Step-by-step explanation:
The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).
Residual Value = Observed Value - Predicted Value
<em>Since the residual value of -4.5 is negative, we can say the predicted value is larger than the observed value. In other words, the line of best fit is "above" the scatter plot point in that specific point.</em>
I think is C is the first one. B for the second. C for the third. and C again. I hope these are right! have a good day!
Answer:
lol
Step-by-step explanation:
lollololol
llllllllllllllllllllllllooooooooooooooooooooooooooooooooooooooooollllllllllllllllllllll
Answer:
5mx5mx5m
Step-by-step explanation:
Mulyiply 5m three timea