Percent means parts out of 100
4%=4/100=0.4/10=0.04/1=0.04
4% of sale=0.04 times sales
so we have
at least means <u>></u>
so
earnings<u>></u>2200
earnings=1900+comission on sales
commision on sales=0.04 times sales
2200<u><</u>1900+0.04timessales
solve for sales
2200<u><</u>1900+0.04 times sales
subtract 1900 from both sides
300<u><</u>0.04 times sales
divide both sides by 0.04
7500<u><</u>sales
he has to sell at least $7500 per month
<u>Answer-</u>
Ed exhibited the most variable year to year performance over this 5 year span.
<u>Solution-</u>
Most variable performance means varying performance or non-consistence performance.
As shown in the graph,
Jill's performance was constant throughout 2005-07.
Ralph's performance was constant throughout 2006-07 and also in 2008-09.
Tina's performance was constant throughout 2007-09
Sam's performance was constant throughout 2008-09.
All of them has been consistence for at-least once. But, in case of Ed, throughout the time, his performance was in-consistence or variable.
Answer:
Step-by-step explanation:
Area of left rectangle:
Length = 36 ft
Width = 8
Area1 = length * width
= 36 * 8
= 288 square feet
Area of right rectangle:
Length = 15 ft
Width = 22 - 8 = 14 ft
Area2 = 15 * 14
= 210 square feet
Area of the figure = Area1 + area2
= 288 + 210
= 498 square feet
<u>burned: </u>756 calories
<u>hours:</u> 3
same number of calories each hour
-> to find this, we must split the number of calories evenly among the hours
<u>steps</u>
756/3
= 252 calories per hour
Answer: strong positive correlafion between data plan size 'x' and number of text messages sent 'y'
Step-by-step explanation:
'R' in statistics is used to denote correlation Coefficient. The correlation Coefficient is a value which ranges between -1 to +1. It tells us the level of relationship or correlation which exists between the relative movement of two variables, in this case the relationship between data plan size and the number of text messages sent in the US. R value of 0 depicts that no relationship exists between the two variables, R value closer the R value is to +1 and - 1 depicts the strength of positive and negative correlation of the two variables respectively.
A R value of +0.97 in the context above, depicts a strong positive correlation between data plan size and number of text messages sent in the US. That is large data size usually corresponds to large number of text messages and vice versa.
