d) State the r value, R² and the regression equation rounded to two decimal places. r = 0.96 r = Regression model (Equation) Write out the equation rounding the numbers to two decimal places.

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d) State the \( r \) value, \( R^2 \), and the regression equation rounded to two decimal places.

\( r = 0.96 \)

\( r^2 = \)

Regression model (Equation): Write out the equation rounding the numbers to two decimal places.
Transcribed Image Text:d) State the \( r \) value, \( R^2 \), and the regression equation rounded to two decimal places. \( r = 0.96 \) \( r^2 = \) Regression model (Equation): Write out the equation rounding the numbers to two decimal places.
**Table: Candle Weight and Burn Time**

This table presents the relationship between candle weight (measured in an unspecified unit) and the corresponding burn time (measured in minutes).

| Candle Weight | Candle Burn Time |
|---------------|------------------|
| 2             | 15               |
| 2             | 16               |
| 3             | 20               |
| 3             | 33               |
| 4             | 34               |
| 4             | 35               |
| 5             | 38               |
| 5             | 40               |
| 10            | 40               |
| 10            | 80               |
| 10            | 80               |
| 16            | 95               |
| 16            | 100              |
| 22            | 120              |
| 22            | 125              |
| 22            | 175              |
| 26            | 180              |

**Analysis:**
- As the candle weight increases, the burn time generally tends to increase as well.
- There is noticeable variation in burn time for some weights, indicating potential inconsistencies or additional influencing factors. For example, a weight of 10 units correlates with both 40 and 80 minutes of burn time, depending on the individual instance.
Transcribed Image Text:**Table: Candle Weight and Burn Time** This table presents the relationship between candle weight (measured in an unspecified unit) and the corresponding burn time (measured in minutes). | Candle Weight | Candle Burn Time | |---------------|------------------| | 2 | 15 | | 2 | 16 | | 3 | 20 | | 3 | 33 | | 4 | 34 | | 4 | 35 | | 5 | 38 | | 5 | 40 | | 10 | 40 | | 10 | 80 | | 10 | 80 | | 16 | 95 | | 16 | 100 | | 22 | 120 | | 22 | 125 | | 22 | 175 | | 26 | 180 | **Analysis:** - As the candle weight increases, the burn time generally tends to increase as well. - There is noticeable variation in burn time for some weights, indicating potential inconsistencies or additional influencing factors. For example, a weight of 10 units correlates with both 40 and 80 minutes of burn time, depending on the individual instance.
Expert Solution
Step 1

Correlation coefficient (r) : The correlation coefficient r can be calculated using the formula, (r is known as the Pearson correlation coefficient) :

r = ∑((x–x̄)(y–ȳ))/ √[(x–x̄)2 ×(y– ȳ)2]      ... (1)

 

Coefficient of determination (R2 or r2) :

R2 or r2is known as the coefficient of determination and can be calculated by squaring the value of correlation coefficient r i.e.,

R2 = r2             ... (2)

Regression Equation :

The regression equation between two variables x and y is given by, 

y = a + bx                          ...(3)

Where, a is known as the intercept and b is known as the slope. 

a and b are calculated as :

b = Σ((x - x̄)(y - ȳ)) /(x–x̄)2          ...(4)

And, 

a = ȳ – b(x̄)                             ... (5)

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