Clearly on plotting the scatter plot on the basis of table of values we see that the relation is a strong correlation since we can find a relationship between variable x and y.
i.e. the points will lie above or below the curve which is formed by connecting some points of the scatter plot and are not scattered away.
Hence, the data above has a:
C. A strong correlation.
Also the graph is a positive correlation since with the increasing value of x the y-value also increases.
Sample response from edge nuity: To find the celsius temperature, substitute 86 for F in the formula. Then, use the order of operations to simplify. Substract 32 from 86. Then multiply 5 9 by 54 to get 30°C. I took the test.
Remark The way you have to set this up is to take the new number for the males and put it over the total for the males and females. The new number for the males / total = 3/5.
Step One Find the total number of females 100 + 160 = 260 when 100 females have been added to the study.
Step Two Find the number of males The total number of males = 240 + x where x is the number of males to be added.
Step Three Find the total for both 260 + 240 + x = Total 500 + x = Total.
Step Four Find the ratio of males to total (240 + x) / (500 + x) = 3/5
Step Five Cross multiply and solve (240 + x)*5 = (500+x)*3 1200 + 5x = 1500 + 3x Subtract 1200 from both sides. 5x = 1500 - 1200 + 3x 5x = 300 + 3x Subtract 3x from both sides. 5x - 3x = 300 2x = 300 Divide by 2 x = 300 / 2 x = 150
Check (240 + 150 ) / (500 + 150) = ? 3/5 390 / 650 = ? 3/5 39/65 = ? 3/5 Divide the top and bottom on the left by 13 3/5 = 3/5 and it checks.