Answer:
the answer is a.
Step-by-step explanation:
I plugged your data into a graphing calculator, and got a quad reg in the picture.
Answer:
The Answer is b. 1.5Million
Step-by-step explanation:
Adult Population = 50 Million
Labor-Force Rate = 60%
Total Labor Force of Adult population = 50Million*60% = 30Million
Unemployment Rate = 5%
People Unemployment =
Total Labor force of Adult population * Unemployment rate
People Unemployment = 30Millon*5%
People Unemployment = 1.5Million
Answer:
Daniel can read his data and refer to line as best line of fit and estimate an average per set of hours.
Step-by-step explanation:
A line of fit draws a solid conclusion to the average for the hours spent during the amount of indicated hours. We draw a line of fit central fit and aim similar centrality as that similar results of the mean (without working out the mean we can draw a line perpendicular to the number of mean, but in line of fit we go central to all the descending or cascading results to include all results but just using one line), with one further consideration and that is balance if anything sticks out from the norm ie) weather conditions including data, we suggest if there is nothing to weigh the line of fit to a balancing outcome that shows the opposite of kilometres walked (eg. extreme higher mileage within the hour/s) then it may just alter the line a fraction of how many treks he did, but not in data less than 30 entries. Have attached an example where they classify in economics something outside the norm is called a misfit. Daniel can read his data and refer to line as best line of fit and estimate an average per set of hours. Here on the attachment you can read any misfit info and use the line coordination perpendicular to guide the indifference, the attachment shows it is not really included in the best line of fit as other dominating balances have occurred and therefore we have a misfit, all whilst using best line of fit to balance everything fairly.

Answer:
Step-by-step explanation:
Given a set of data sorted from smallest to largest, i.e. arranged in ascending order we are to find out the median, I and III quartiles
We know that the median is the middle entry of data arranged in ascending order
Q1 is the entry below which 25% lie and Q3 is one above which 25% lie
Hence proper definition would be
d. The first quartile is the median of the lower half of the data below the overall median.
The second quartile is the overall median
The third quartile is the median of the upper half of the data above the overall median.
Option b is wrong becuase mean is not necessary here. Option a is wrong because this has nothing to do with std deviation
Option c is wrong since minimum value cannot be q1
Option e is wrong because we have exactly 25% lie below Q1
4a2 + 4a + 1 = (2a +1)^2 = <span>(2a + 1)(2a + 1)
</span>4 − 4a + a2 = (2 - a)^2 = <span>(2 − a)(2 − a)
</span>4a2 − 4a + 1 = (2a -1)^2 = <span>(2a − 1)(2a − 1)
</span><span>4 + 4a + a2</span> = (2 + a)^2 = (2 + a)(2 + a)