Answer:
The answer is option A.
Step-by-step explanation:
Subjective probability is defined as a probability which is derived from a person's own experience or belief without relying on any data or scientific calculation.
In the question, the situation given in option A is an example of subjective probability because the analyst is giving a probability based on his or her own belief without using any data at all.
The other options clearly state the probability is being calculated by relying on observations and data.
I hope this answer helps.
Y-65=3(x-49) 3 is time 49 is crushed
Answer:

Step-by-step explanation:
<u>Simple Linear Regression
</u>
It a function that represents the relationship between two or more variables in a given data set. It uses the method of the least-squares regression line which minimizes the error between the estimate function and the real data.
Let's compute the best-fit line for the data


First, we find the sums


Then, we compute the averages values


We will also compute the sums of the cross-products and the sum of the squares



We will compute Sxy and Sxx





The slope of the linear regression function is given by

The y-intercept ot the linear function is


Thus the best-fit line is

The correct option is the last one
K= 13t-2
= 13(2)-2
=26-2
K=24