Answer:
52 left-handed players
Step-by-step explanation:
The answer is asking, how many players is 80% of 65.
"of" = multiply
80% = 0.8 (to convert percent to decimal, move the decimal point two times to the left)
0.8 x 65 = 52 left-handed players
A. It must be between -1 and 1.
B. It must be positive.
C. It indicates the percentage of points that lie on the regression line.
D. The correlation coefficient tells you how strong the residuals are.
E. If correlation is positive, the slope of the regression line is also positive
This is about knowledge between Correlation and Regression.
Option A and E are correct.
Option A; Under different types of correlation coefficient they tend to make use of different range for their definitions but it is always between minimum of -1 and maximum of 1. Thus, the statement is correct.
Option B; It must not be positive because as stated in option A above negative values can be used.
Option C; No, it doesn't indicate percentage of points because in the definition i gave earlier, there is nothing like that. Besides, this is in regression and not correlation.
Option D; This is incorrect as the definition doesn't support it.
Option E; This is correct because positive correlation means that the two variables increase at the same time or decrease at the same time. Thus, it means the regression line will be positive as long as correlation is positive.
Read more at; brainly.com/question/10502086
Answer: the answer is A
Step-by-step explanation:
Approximately what percent of the bags of baby carrots have between 90 and 100 carrots?
Answer: 46%
Step-by-step explanation:
Since the number of baby carrots in a bag is normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = the number of baby carrots in the bag.
µ = mean
σ = standard deviation
From the information given,
µ = 94 carrots
σ = 8.2 carrots
The probability that a bag of baby carrots have between 90 and 100 carrots is expressed as
P(90 ≤ x ≤ 100)
For x = 90,
z = (90 - 94)/8.2 = - 0.49
Looking at the normal distribution table, the probability corresponding to the z score is 0.31
For x = 100,
z = (100 - 94)/8.2 = 0.73
Looking at the normal distribution table, the probability corresponding to the z score is 0.77
Therefore,
P(90 ≤ x ≤ 100) = 0.77 - 0.31 = 0.46
The percent of the bags of baby carrots that have between 90 and 100 carrots is
0.46 × 100 = 46%