Question

In this assignment, you will learn to enter data in SPSS and to conduct simple correlational statistical analyses. You may need to use skills learned in previous assignments, lessons in the book, and/or other resources. For example, a description of how to enter data into SPSS is included in the exercises in Chapter 1.

- A consumer psychologist wants to know if shoe size and weight are correlated in female adults. She measures the shoe size and asks the weight of 15 consecutive customers. They are as follows below. Enter that data above into SPSS naming the variables ‘shoe size’ and ‘weight’. Make sure to define them as numeric/continuous variables. (4 points)

size 6, 116 lbs.

size 5.5, 121 lbs.

size 10, 175 lbs.

size 3, 109 lbs.

size 9.5, 158 lbs.

size 6, 150 lbs.

size 10, 169 lbs.

size 5.5, 134 lbs.

size 7.5, 150 lbs.

size 8, 201 lbs.

size 8.5, 158 lbs

size 5.5, 123 lbs

size 6.5, 121 lbs.

size 8.5, 188 lbs

size 7.5, 135 lbs

Research Question: Is there a statistically significant relationship between shoe size and weight?

Null hypothesis: There is no statistically significant relationship between shoe size and weight.

Research/Alternative hypothesis: There is a significant relationship between shoe size and weight.

Variable 1/Level of measurement: Shoe size/ordinal

Variable 2/ Level of measurement: Weight/ratio

Statistical analysis used: Pearson’s product-moment correlation coefficient

Key statistics and interpretation:

Correlation coefficient: 0.77

Statistical significance: 0.001

Coefficient of determination/Effect size/Shared Variance: 0.59/Large/77%

****I need help with the
questions below. I'm not sure how to state the
assumptions.**

**Assumptions:**

**Significant outliers:****Linearity:****Normality:**

**Reject or Fail to Reject the Null:**

**Interpretation/Conclusion:**

Answer #1

**=>** From scatter plot below data are showing
linear pattern

**=>** We can see from below PP GRAPHS data are
NORMALLY DISTRIBUTED.

**=>** *Also there is NO significant outliers
in the data.*

*Since P value= 0.001*

*Since P value is SMALLER THAN THE LEVEL OF SIGNIFICANCE 0.05
therefore SIGNIFICANT*

*Decision: REJECT H0.*

*Conclusion: We have sufficient evidence to conclude that
t*here is a significant relationship between shoe size and
weight.

Use the classroom dataset. A researcher wants to be able to use
shoe size to predict height.
Shoe size= 6, 9, 7.5, 9.5, 8, 10.5, 8, 8, 7.5, 7.5, 9, 9, 8.5,
11.5, 8.5, 9, 7, 5, 8, 8, 8.5, 6.5, 6
Height(in)= 62, 67, 62, 69, 63, 67, 66, 63, 68, 64, 63, 66, 65,
72, 64, 65, 66, 61, 67, 64, 65, 60, 64
A) what variable is the response variable and which is the
predictor variable?
B)...

Enter the hypothetical data below in SPSS to use for the
assignment. The SPSS commands: 'file', 'new', 'data' will create a
spreadsheet in which to enter the data below (manually).
Case Group
Test
1
1
6
2
1
7
3
1
5
4
1
4
5
1
1
6
2
3
7
2
5
8
2
2
9
2
5
10
2
1
The groups are coded as follows: 1=experimental group, 2 control
group. The participants in the experimental...

Assignment Problem: Matt Profitt, an MBA student, is studying
companies that are going public for the first time. He is curious
about whether or not there is a significant relationship between
the size of the offering (in millions of dollars) and the price per
share. Size 108 4.4 3.5 8.6 139 228 47.5 5.5 175 12 51 66 Price 12
4 5 6 13 19 8.5 5 15 6 12 12 a. Develop the appropriate scatterplot
for the two variables...

Research Scenario: Is there a positive
relationship between grit and GPA in high school seniors? A
researcher examined this issue by having students beginning their
senior year of high school complete a grit inventory using a
Likert-based scale (range 1 – 7), where higher numbers indicate
more “grit”. GPA was self-reported (scale 0 – 4.0). Enter the data
shown here into SPSS to assess whether there is a positive
relationship between grit and GPA.
Grit
GPA
6.5
4.0
4.0
3.1...

PLEASE FILL IN THE BLANKS WITH THE PROPER TERM! THANKS
Key Terms
----------------------------------------------------------------------------------------------------------------------------
Positive relationship --- Occurs in so far as pairs of
observations tend to occupy similar relative positions in their
respective distribution.
Negative relationship --- Occurs in so far as pairs of
observations tend to occupy dissimilar relative positions in their
respective distribution.
Scatterplot --- a graph containing a cluster of dots
that represents all pairs of observations.
Person correlation coefficient --- A number between –1
and +1...

A data set is provided, entitled oldfaithful_asst, on the
duration and height of the Old
Faithful geyser in the Yellowstone National Park.
a.
Construct a scatterplot using Excel or any software (SPSS or
Minitab)
between the variables “duration” and “height.” Please title the
graph
“Scatterplot 1 Old Faithful” and create labels for both
axes.
b.
There seems to be a an outlier in the data set. Although an
outlier is not a
detriment to the data analysis, as part of...

Question 1
How is a residual calculated in a regression model? i.e. what is
the meaning of a residual?
a)The difference between the actual value, y, and the fitted
value, y-hat
b)The difference between the fitted value, y-hat, and the mean,
y-bar
c)The difference between the actual value, y, and the mean,
y-ba
d)The square of the difference between the fitted value, y-hat,
and the mean, y-bar
Question 2
Larger values of r-squared imply that the observations are more
closely...

Data needs to be analyzed
For this assignment I have to analyze the regression
(relationship between 2 independent variables and 1 dependent
variable). Below is all of my data and values. I need help
answering the questions that are at the bottom. Questions regarding
the strength of the relationship
Sum of X1 = 184.6
Sum of X2 = 21307.03
Sum of Y = 2569.1
Mean X1 = 3.6196
Mean X2 = 417.7849
Mean Y = 50.3745
Sum of squares (SSX1)...

Problem Set 2: Pearson’s correlation (7
pts)
Research Scenario: Is there a positive
relationship between grit and GPA in high school seniors? A
researcher examined this issue by having students beginning their
senior year of high school complete a grit inventory using a
Likert-based scale (range 1 – 7), where higher numbers indicate
more “grit”. GPA was self-reported (scale 0 – 4.0). Enter the data
shown here into SPSS to assess whether there is a positive
relationship between grit and...

Data Set Preparation
(Using A JMP Folder) Can email you if comment your email.
1. (10 pts.) Using the “Toyota Corolla” data set on Canvas (Home
à “JMP” à “(Under: JMP Data Sets folder)”, you will be modeling the
“Price” of a car as the dependent variable (Y). Please select one
independent variable (X) you think may help explain Price, from the
following three: “Age”, “Mileage”, or “Weight” of a car. In the
space below, state your choice and explain...

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