You are correct about the y-intercept. In case you are unsure about the slope, you can check using y1 - y2 / x1 - x2:
(0, -1) and (1, 2)
-1 - 2 / 0 - 1
-3 / -1
3
The slope is 3; you chose the correct answer, great job.
Answer:
X-intercept: -10
Y-intercept: -45
(-10),(-45)
Step-by-step explanation:
Hop this helped, Have a Wonderful Day!!
Answer:
600 times 60 equals 36000
1,000 times 60 equals 60000
6000 times 30 equals 18000
Step-by-step explanation:
The data below shows the average number of text messages sent daily by a group of people: 7, 8, 4, 7, 5, 2, 5, 4, 5, 7, 4, 8, 2,
enot [183]
It all depends. You've given us an incredibly vague question.
The outlier could be a number that's low or quite high. Also, outliers
shouldn't really contribute towards the value of the mean, median or
range related to a group of data.
They are called outliers because they are bizarre results or numbers
and should be detached from groups of data. Outliers by definition
are abnormalities or anomalies.
I'd say outliers don't really change anything, unless you actually want
to give them credibility or weight.
Large outliers can inflate the value of means, medians and ranges.
Small outliers will invariably deflate the value of means and medians.
