Scientific information is initially collected in a database and reported in a table format. The data can be very difficult to understand in this form. The data below is an excerpt from Cell Metabolism 19, 407-417, March 4, 2014 2014 Elsevier Inc. Table 1. Associations between Mortality and Protein Intake Diabetes Mortality Moderate protein (n=4.798) High protein (n=1,146) 9 kcal fat % kcal carbs %6 kcal animal protain Hazard Ratio (95% CI) Ages 50-65 (N=3,039) Model 1 Model 2 Model 3. Model 4 Ages 66+ (N=3,342) Model 1 Model 2 Model 3 3.43 (0.69-17.02) 3.36 (0.67-16.90) 3.41 (0.67-17.36) 2.99 (0.58-15.31) 5.38 (0.05-30.419) 6.20 (0.35-37.01) 3.93 (0.73-21.07) 3.88 (0.71-21.17) 3.90 (0.67-22.84) 2.77 (0.24-31.73) 10.64 (1.85-61.31) 10.42 (1.88-57.87) 9.07 (1.49-65.30) 15.16 (1.93-118.9) 5.05 (0.93-27.34) 4.93 (0.89-27.35) 1.01 (0.97-1.05) 1.00 (0.96-1.04) 1.02 (0.92-1.14) Reference low protein (n=437 in both age groups). Model 1 (baseline model: Adjusted for age, sex, race/ethnicity, education, waist circumference, smoking, chronic conditions (diabetes, cancer, myocardial infarction), trying to lose weight in the last year, diet changed in the last year, reported intake representative of typical diet, and total calories. Model 2: Adjusted for covariates and % kcals Scientists frequently show this same data in graph form to help visualize the patterns and trends within the data. Diabetes Low Prote Moderan Protein High Protein Please read the Basic Graph Interpretation information provided in your course to help answer these questions. For this question, focus on the GRAPH. As I mentioned in the assignment description, I do think that the authors are trying to present information usefully. That said, this graph just has some basic problems. What problems does the graph? Check all of the things that are wrong with the graph. It should be graphed as a bar graph. The x-axis doesn't start with zero. Predicted time til death should be on the other axis. The title is not complete enough. There are no units on the axes.

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Scientific information is initially collected in a database and reported in a table format. The data can be very difficult to understand in this
form. The data below is an excerpt from Cell Metabolism 19, 407-417, March 4, 2014 2014 Elsevier Inc.
Table 1. Associations between Mortality and Protein Intake
Diabetes Mortality
Moderate protein (n=4.798)
High protein (n=1,146)
9 kcal fat
% kcal carbs
%6 kcal animal protain
Hazard Ratio (95% CI)
Ages 50-65 (N=3,039)
Model 1
Model 2
Model 3.
Model 4
Ages 66+ (N=3,342)
Model 1
Model 2
Model 3
3.43 (0.69-17.02) 3.36 (0.67-16.90) 3.41 (0.67-17.36) 2.99 (0.58-15.31) 5.38 (0.05-30.419)
6.20 (0.35-37.01)
3.93 (0.73-21.07) 3.88 (0.71-21.17) 3.90 (0.67-22.84) 2.77 (0.24-31.73) 10.64 (1.85-61.31) 10.42 (1.88-57.87) 9.07 (1.49-65.30) 15.16 (1.93-118.9)
5.05 (0.93-27.34) 4.93 (0.89-27.35)
1.01 (0.97-1.05)
1.00 (0.96-1.04)
1.02 (0.92-1.14)
Reference low protein (n=437 in both age groups). Model 1 (baseline model: Adjusted for age, sex, race/ethnicity, education, waist circumference, smoking, chronic conditions (diabetes, cancer,
myocardial infarction), trying to lose weight in the last year, diet changed in the last year, reported intake representative of typical diet, and total calories. Model 2: Adjusted for covariates and % kcals
Scientists frequently show this same data in graph form to help visualize the patterns and trends within the data.
Diabetes
Low Prote
Moderan Protein
High Protein
Please read the Basic Graph Interpretation information provided in your course to help answer these questions.
For this question, focus on the GRAPH. As I mentioned in the assignment description, I do
think that the authors are trying to present information usefully. That said, this graph just
has some basic problems.
What problems does the graph? Check all of the things that are wrong with the graph.
It should be graphed as a bar graph.
The x-axis doesn't start with zero.
Predicted time til death should be on the other axis.
The title is not complete enough.
There are no units on the axes.
Transcribed Image Text:Scientific information is initially collected in a database and reported in a table format. The data can be very difficult to understand in this form. The data below is an excerpt from Cell Metabolism 19, 407-417, March 4, 2014 2014 Elsevier Inc. Table 1. Associations between Mortality and Protein Intake Diabetes Mortality Moderate protein (n=4.798) High protein (n=1,146) 9 kcal fat % kcal carbs %6 kcal animal protain Hazard Ratio (95% CI) Ages 50-65 (N=3,039) Model 1 Model 2 Model 3. Model 4 Ages 66+ (N=3,342) Model 1 Model 2 Model 3 3.43 (0.69-17.02) 3.36 (0.67-16.90) 3.41 (0.67-17.36) 2.99 (0.58-15.31) 5.38 (0.05-30.419) 6.20 (0.35-37.01) 3.93 (0.73-21.07) 3.88 (0.71-21.17) 3.90 (0.67-22.84) 2.77 (0.24-31.73) 10.64 (1.85-61.31) 10.42 (1.88-57.87) 9.07 (1.49-65.30) 15.16 (1.93-118.9) 5.05 (0.93-27.34) 4.93 (0.89-27.35) 1.01 (0.97-1.05) 1.00 (0.96-1.04) 1.02 (0.92-1.14) Reference low protein (n=437 in both age groups). Model 1 (baseline model: Adjusted for age, sex, race/ethnicity, education, waist circumference, smoking, chronic conditions (diabetes, cancer, myocardial infarction), trying to lose weight in the last year, diet changed in the last year, reported intake representative of typical diet, and total calories. Model 2: Adjusted for covariates and % kcals Scientists frequently show this same data in graph form to help visualize the patterns and trends within the data. Diabetes Low Prote Moderan Protein High Protein Please read the Basic Graph Interpretation information provided in your course to help answer these questions. For this question, focus on the GRAPH. As I mentioned in the assignment description, I do think that the authors are trying to present information usefully. That said, this graph just has some basic problems. What problems does the graph? Check all of the things that are wrong with the graph. It should be graphed as a bar graph. The x-axis doesn't start with zero. Predicted time til death should be on the other axis. The title is not complete enough. There are no units on the axes.
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