Answer :
Final answer:
There seems to be a positive correlation between the age and weight of the calves. As the age of the calf increases, the weight of the calf tends to increase.
Explanation:
Correlation between the Age and Weight of Calves
To analyze the correlation between the age and weight of calves, a scatter diagram is created using the data collected from a random sample of calves in Colorado. The scatter diagram visually represents the relationship between the two variables, with the age of the calf (in weeks) on the x-axis and the weight of the calf (in kilograms) on the y-axis.
By plotting the data points on the scatter diagram, we can observe the distribution of the data and determine whether there is a correlation between the age and weight of the calves.
After creating the scatter diagram, we can analyze the pattern of the data points. If the data points form a roughly linear pattern, it indicates a correlation between the variables. If the data points are scattered randomly, it suggests no correlation.
In this case, we need to determine whether there is a correlation between the age and weight of the calves and whether it is positive or negative.
Analysis of the Scatter Diagram
Upon analyzing the scatter diagram obtained from the data, we can observe that the data points form a roughly linear pattern. This indicates a correlation between the age and weight of the calves.
Furthermore, the pattern of the data points suggests a positive correlation. As the age of the calf increases, the weight of the calf also tends to increase.
Interpreting the Value of r
To further support our conclusion, we can calculate the correlation coefficient (r) using Excel commands. The correlation coefficient measures the strength and direction of the linear relationship between two variables.
If the value of r is close to 1, it indicates a strong positive correlation. If the value of r is close to -1, it indicates a strong negative correlation. A value of r close to 0 suggests no correlation.
By calculating the correlation coefficient using Excel commands, we can determine whether the value of r supports our conclusion of a positive correlation between the age and weight of the calves.
Conclusion
Based on the scatter diagram and the pattern of the data points, there seems to be a positive correlation between the age and weight of the calves. As the age of the calf increases, the weight of the calf tends to increase.
The value of r, obtained through Excel commands, will further support our conclusion by quantifying the strength of the correlation.
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