Question

A scatterplot of the weights (in pounds) against the tail lengths (in inches) of 10 wolves showed a moderately strong positive linear association.

From the data, the regression model to predict the *weights
(* y ^ ) of these wolves from *tail lengths (* x)
was y ^ = 3 x + 40.

**Interpret the slope of the regression line.**

Group of answer choices

For every 1 inch increase in tail length, the predicted weight increases by 40 pounds.

For every 3 inch increase in tail length, the predicted weight increases by 1 pound.

For every 40 inch increase in tail length, the predicted weight increases by 3 pounds.

For every 1 inch increase in tail length, the predicted weight increases by 3 pounds.

Answer #1

TOPIC:Interpretation of the slope coefficient in regression analysis.

The following table lists the birth weights (in pounds),
x, and the lengths (in inches), y, for a set of
newborn babies at a local hospital. (2 points)
Birth Weight
(in Pounds), x
5
3
8
6
9
7
7
6
6
10
Length
(in inches), y
16
15
18
19
19
18
20
17
15
21
a. Find the regression equation.
b. Determine if the equation is appropriate for making
predictions at the 0.05 level of significance
c. If...

Q6- Listed below are the body lengths (in inches) and weights
(in lb) of randomly selected bears:
Length
40
64
65
49 47
Weight
65
356
316
94 86
a. Find the value of the linear correlation coefficient.
b. Letting y represent weights of bears and letting x represent
their lengths, find the regression equation.
c. Based on the given sample data, what is the best predicted
weight of a bear with a length of 72.0 inch?
Please write the...

a regression analysis between weight (y in pounds) and height (x
in inches) resulted in the following least squares line: Y=140+5x.
this implies if the height is increased by 1 inch, the weight is
expected to increase on average by 5 pounds
true or false

4) The regression equation predicting the average weight of a
male age 18=24 (y) based on his height (x) is giben by y=
172.63+4.842x. Describe the correlation between height and weight
based on the slop of the regression line.
a) positive correlation since the magnitude of the slope is
large relative to the intercept.
b) negative correlation since the magnitude of the slope is
small relative to the intercept.
c) positive correlation since the slope is positive. d) positive
correlation...

Listed below are the body lengths (in inches) and weights (in
lb) of randomly selected bears:
Length
40
64
65
49 47
Weight
65
356
316
94 86
Find the value of the linear correlation coefficient.
Letting y represent weights of bears and letting
xrepresent their lengths, find the regression
equation.
Based on the given sample data, what is the best predicted
weight of a bear with a length of 72.0 inch ?
Common colds are typically caused by a...

In looking at
regression analysis further, sometimes people of different sizes
and weights. If compared a patients heights vs weights in the
following way
Heights in inches for
x
Weights in pounds for
y
56
187
63
203
71
234
75
282
What would be the
regression linear equation that would model this? What would be the
steps to show this out? How could you use it to figure out the
weight of a 88 inch person? How could you...

Using a study of 403 individuals in Texas, we find the following
prediction equation for glycosolated hemoglobin (y, measured as a
percent) using explanatory variables of total cholesterol (x1,
measured in mg/dL), location (x2, dummy variable with values 0 =
Dallas, 1 = Houston), and weight (x3, measured in pounds): yhat =
1.50 + 0.013 x1 + -0.3 x2 + 0.008 x3.
Which of the following is the most accurate interpretation of a
parameter (i.e. intercept or slope) in this...

6.
The data show the time intervals after an eruption (to the
next eruption) of a certain geyser. Find the regression equation,
letting the first variable be the independent (x) variable. Find
the best predicted time of the interval after an eruption given
that the current eruption has a height of 149 feet.
Height (ft)
108
124
108
152
109
138
137
103
Interval after (min)
77
73
81
87
69
91
90
68
What is the regression equation?
...

1. Given the following observations of quantitative variables
X and Y:
x= 0, 1, 2, 3, 15
y= 3, 4, 6, 10, 0
a. Make a scatterplot of the data on the axes. Circle the most
influential observation. (4 points)
(b) Determine the LSRL of Y on X. Draw
this line carefully on your scatterplot. (4 points)
(c) What is the definition of a regression outlier? (4
points)
(d) Which data point is the biggest regression outlier?
(4 points)...

Please, i need Unique answer,
Use your own words (don't copy and paste). Please,
don't use handwriting, Use your keyboard.
Q1: Suppose you survey that a random
sample of 150 people from one hospital has been given cholesterol
tests, and 60 of these people had levels over the “safe” count of
200. Construct a 95% confidence interval for the population
proportion of people in test with cholesterol levels over 200.
Q2: A research conducted by the
University of Michigan claimed...

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