Answer:
0.67; The least-squares regression line, given by ŷ = 3.95 + 0.67x, is not a good fit for the data.
Step-by-step explanation:
Plot the data in a spreadsheet and insert a trendline. The line of best fit is y = 0.67x + 3.95. The r² value is 0.67.
Answer: √
145 or 12.04159457 for the decimal ways try 12
Step-by-step explanation: 12.0415945787923
Midpoint (−2,−9.5)
Slope −0.0833333333333333
x intercept −116.00
y intercept −9.67
The theoretical probability is how many times it SHOULD land on heads. Since there is two sides, the theoretical l probability says it should land on heads 10 times out of 20 or 1/2. The experimental probability can vary, it is how many times it ACTUALLY lands on heads when you test it. In this case it landed on heads 4 times out of 20 or 1/5 of the time. For this problem, the experimental probability is less than the theoretical probability.<span />
c + 2c = 33
3c=33 (now divide by 3 both sides of equation)
c=11
so Ann has 11 apples (c=11) and her brother has 22 apples (2c=2×11=22)
It’s B because 25x the x represents what 25 is multiplied by and b is the only one that makes since mark me brainliest please
