A researcher was interested in investigating whether the parent-child interaction time (in hours) is a predictor of child’s cognitive development. A sample of 100 children shown cognitive tests score as below. The least-square regression equation is: y’= 54 + 11.5 *x. Note. cognitive test score is denoted as y and the interaction time is denoted as x. 1)  Describe the correlation between x and y base on the scatterplot 2)  Find the correlation coefficient between x and y. 3)  Interpret the intercept and the slop 4)  Base on the regression equation, estimate the predicted cognitive level for a child who parent interacts with him 7 hours per day?

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A researcher was interested in investigating whether the parent-child interaction time (in hours) is a predictor of child’s cognitive development. A sample of 100 children shown cognitive tests score as below. The least-square regression equation is:

y’= 54 + 11.5 *x.
Note. cognitive test score is denoted as y and the interaction time is denoted as x.

  1. 1)  Describe the correlation between x and y base on the scatterplot

  2. 2)  Find the correlation coefficient between x and y.

  3. 3)  Interpret the intercept and the slop

  4. 4)  Base on the regression equation, estimate the predicted cognitive level for a child who parent interacts with him 7 hours per day?

The displayed image is a scatter plot graph that illustrates the relationship between two variables, labeled "x" and "y."

### Axes:
- **X-axis (horizontal):** Ranges from 1 to 7 in integer increments.
- **Y-axis (vertical):** Ranges from 40 to 100, with labels at intervals of 10: 50, 60, 70, 80, and 90.

### Data Points:
- Each data point on the graph is represented by an open circle.
- The distribution of points shows a positive correlation, where an increase in the "x" value generally corresponds with an increase in the "y" value.
- The data points are somewhat scattered but show a clear upward trend, indicating a possible linear relationship between the two variables.
  
### Interpretation:
- This scatter plot is useful for analyzing how two variables might correlate with one another.
- The upward trend suggests that as variable "x" increases, variable "y" tends to increase as well. This information can be used to predict values or understand relationships in educational research or data analysis contexts.
Transcribed Image Text:The displayed image is a scatter plot graph that illustrates the relationship between two variables, labeled "x" and "y." ### Axes: - **X-axis (horizontal):** Ranges from 1 to 7 in integer increments. - **Y-axis (vertical):** Ranges from 40 to 100, with labels at intervals of 10: 50, 60, 70, 80, and 90. ### Data Points: - Each data point on the graph is represented by an open circle. - The distribution of points shows a positive correlation, where an increase in the "x" value generally corresponds with an increase in the "y" value. - The data points are somewhat scattered but show a clear upward trend, indicating a possible linear relationship between the two variables. ### Interpretation: - This scatter plot is useful for analyzing how two variables might correlate with one another. - The upward trend suggests that as variable "x" increases, variable "y" tends to increase as well. This information can be used to predict values or understand relationships in educational research or data analysis contexts.
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