The answer Is C: SAS Congruence Postulate.
Answer:
clc%clears screen
clear all%clears history
close all%closes all files
p=250;
M=[];
for i=1:100000
re=0;
S=0;
while(S<=1)
S=S+rand;
re=re+100;
end
M(i)=re;
end
disp('Expected received money is');
mean(M)
disp('Since expcted is greater than what we pay. So, we will play')
Step-by-step explanation:
Answer:
58.6% of the variation in length (in cm) of new born boys and their weight (in kg) is explained by the line of best fit.
Step-by-step explanation:
Given the following :
R² value = 58.6% comparing the length (cm) of new born boys to their weight (kg)
The R² value is called the Coefficient of determination. It is obtained by taking the square of the correlation Coefficient (R). The value gives the proportion of Variation between the independent and dependent variables which is explained by regression line. In the scenario above, the R² value means that 58.6% of the variation in length in centimeter of new born boys and their weight (in kg) is explained by the line of best fit. While (100% - 58.6% = 41.4%) is due to other factors.
Answer: This study uses a control group, this study uses repeated measures design, and this study uses random sampling
Step-by-step explanation:
