Answer:
C. 0.55
Step-by-step explanation:
The scatter plot shows that there is a positive correlation between variable x and variable y. This is because, the x and y variable seem to follow the same trend. That is, as x variable increases, y variable also increases. If a line of best fit is drawn, it would slope upwards, from left to our right.
Correlation coefficient (r) of any given data set plotted on a scatter plot, ranges from -1 to 1. The closer the value of "r" to either -1 or 1, the more clustered the data points are together in a line of best fit in a scatter plot.
Therefore, since the scatter plot given shows a positive relation between the x and y variables, whereby the data points seem to be less clustered and farther from each away from the line if best fit, if drawn, an estimate of "r" would not be closer to the value of 1.
Therefore, from the options given, C. 0.55 is the best estimate for r for the data shown in the scatter plot.
Answer:
1/2
Step-by-step explanation:
1/6/3/1
1/6=3/1
1/2
Answer:
8
Step-by-step explanation:
Use the rule in algebra: change side,change sign... (when you move a digit, see whether it's +,-,× or ÷ and work out the opposite to get the letter on its own.
Ok, so:
For Part A, we have: P(Z|A)=P(Z and A)/P(A)
And if we replace, we got:
P(Z|A) = (0.15)/(0.25) and this is equal to 0.6.
For Part B, we have: P(A|Z)=P(Z and A)/P(Z)
P(A|Z) = (0.15)/(0.73) and this is equal to 0.205.
