<span>Given that A
dataset shows that, on average, smokers do not live as long as
nonsmokers and heavy smokers do not live as long as light smokers.
If
you compute the least squares line for y = age at time of death and x =
number of packets per day typically smoked, you will notice that as the number of packets per day a person smokes increases, the age at time of death of the person decreases.
Thus, the graph wil have a negative slope.
Therefore, the slope of your
regression line will be less than 0.</span>
Answer:
<h2>see below</h2>
Step-by-step explanation:
<h3>
Question-6:</h3>
we are given a equation

to solve so
recall logarithm multiplication law:

simplify multiplication:

remember 
so

cancel out
from both sides:

simplify squares:

move left hand side expression to right hand side and change its sign:
since we are moving left hand side expression to right hand side there'll be only 0 left in the left hand side

rewrite it to standard form i.e ax²+bx+c=0

rewrite -6x as 2x-8x:

factor out x and 8:

group:



<h3>Question-7:</h3>
move left hand side log to right hand side:

use mutilation logarithm rule;

so

cancel out log from both sides:

make it standard form:

factor:

so

Answer: a) 2 b) 1.407
Step-by-step explanation:
Given : The probability that any particular diode will fail : p=0.01
The number of diodes in a circuit : n= 200
The number of diodes expected to fail will be :-
Hence, the number of diodes expected to fail =2
The standard deviation of the number that are expected to fail will be :-
[Rounded to three decimal places.]
Hence, the standard deviation of the number that are expected to fail= 1.407