Answer:
The Pearson's coefficient of correlation between the is 0.700.
Step-by-step explanation:
The correlation coefficient is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i.e. dependent and independent).It ranges from -1 to +1.
The formula to compute correlation between two variables <em>X</em> and <em>Y</em> is:

The formula to compute covariance is:

The formula to compute the variances are:

Consider the table attached below.
Compute the covariance as follows:


Thus, the covariance is 75.
Compute the variance of X and Y as follows:

Compute the correlation coefficient as follows:



Thus, the Pearson's coefficient of correlation between the is 0.700.
Answer:
60cm
Step-by-step explanation:
1:50 means every foot is 50 feet.
So I would think the ship hes making will be 2 feet long.
Every foot is equal to 0.3m which is equal to 30cm
Every foot is equal to 30cm
2 x 30cm = 60cm
Answer:
51,750
Step-by-step explanation:
45,000x.03=1,350
1,350x5=6750
45,000+6750=51,750
Step-by-step explanation:
Hi, your question isn't totally complete. Here's the likely full question:
Random walk. A Java programmer begins walking aimlessly. At each time step, she takes one step in a random direction (either north, east, south, or west), each with probability 25%. She stops once she is at Manhattan distance r from the starting point. How many steps will the random walker take? This process is known as a two-dimensional random walk.
Write a program RandomWalker.java that takes an integer command-line argument r and simulates the motion of a random walk until the random walker is at Manhattan distance r from the starting point. Print the coordinates at each step of the walk (including the starting and ending points), treating the starting point as (0, 0). Also, print the total number of steps taken.
The answer to this question is C