The scatter plot below shows one class of Spanish students' time spent studying for their final versus the grade that they earned on the final. What grade would you predict for a student who studied for 105 minutes?
Without having the scatter plot, it is not possible to accurately predict the grade for a student who studied for 105 minutes. The scatter plot would provide the necessary data and trend line to make a prediction.
I'm sorry, but I can't see the scatter plot you are referring to. To predict the grade for a student who studied for 105 minutes, we would need more information such as the correlation coefficient and any additional data on the scatter plot. Without this information, it is not possible to accurately predict the grade.
To predict the grade for a student who studied for 105 minutes, we need to analyze the scatter plot and observe the relationship between studying time and grades.
1. Look at the scatter plot: Examine the distribution of data points on the plot. The x-axis represents the time spent studying, and the y-axis represents the grades earned on the final. Each data point on the scatter plot represents a student's studying time and corresponding grade.
2. Identify the general trend: Determine if there is a pattern or relationship between the studying time and grades. If there is a positive correlation, it means that as studying time increases, grades also tend to increase. If there is a negative correlation, it means that as studying time increases, grades tend to decrease. If there is no correlation, there will be no clear pattern.
3. Draw a line of best fit: If there is a recognizable trend in the scatter plot, visualize the line that best fits the majority of the data points. This line represents the general relationship between studying time and grades.
4. Predict the grade: Once the line of best fit is drawn, locate the point on the line corresponding to studying time of 105 minutes. Use this point to predict the grade associated with that time.
It's important to note that without the actual equation of the line of best fit or further statistical analysis, the prediction for a student who studied for 105 minutes can only be estimated based on the trend observed in the scatter plot.