Disk drives have been getting larger. Their capacity is now often given in terabytes (TB) where 1 TBequals1000 gigabytes, or about a trillion bytes. A survey of prices for external disk drives found the data shown to the right. Find and interpret value of Rsquared.

Capacity (in TB) 0.080 0.130 0.280 0.490 2.0 3.0 4.0

Price (in $) 28.00 41.45 50.00 74.99 215.79 366.99 393.00

What is the value of Upper R squared?

What is the interpretation of Upper R squared? The value of Upper R squared equals indicates the percentage of the variability in the price of these disk drives that can be explained by the variability in the capacity of the drives. (Round to two decimal places as needed.)

- Correlation coefficient between the price and the capacities is computed to be 0.99033.

R squared = 0.981

- Interpretation of the result

Since the correlation coefficient and subsequently R squared are both very close to 1, this indicates a very high positive correlation, close to a perfect positive correlation between price and capacities of external storage drives.

Explanation:

Let the capacity be x

And the price be y

Capacity (in TB) 0.080 0.130 0.280 0.490 2.0 3.0 4.0

Price (in $) 28.00 41.45 50.00 74.99 215.79 366.99 393.00

Mean of capacity, xbar = (Σx/n)

Note that Σx represents the sum of all the capacities given = 10.01

N = Sample size = 7

mean of capacity, xbar = 1.43 (in TB)

Mean of price, ybar = (Σy/n)

Note that Σy represents the sum of all the prices given = 1170.26

N = Sample size = 7

Mean of price, ybar = $167.18

- The formula for the correlation coefficient is given in the first attached image.

- xbar and ybar are given as x and y with bars over their heads.

- xᵢ and yᵢ represent each of the variables of capacities and price respectively.

- And n ranges from 1 to 7.

- The graph of price against capacities is also attached in the second attached image

On computing the correlation coefficient,

The correlation coefficient = 0.99033

R squared = 0.99033² = 0.981

The correlation coefficient and R squared are very close to 1.

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