A researcher is interested in finding out the relationship between the price of house (H, measured in hundred dollars) and its distance from the highway (D, measured in kilometers) passing through her district. She estimates the following regression using 250 observations on prices of house and their corresponding distance from the highway: In(H) = 60.35 -0.07D, where In(H) is the predicted value of the logarithm of house prices and D is the value of the distance of the house from the highway. Therefore, for the above regression function, an increase in distance of the house from the highway by one kilometer is associated with in the price of house by A survey was conducted to study the impact of per capita gross national product or GNP (X, measured in thousand dollars) on life expectancy at birth (Y). Data across 100 countries was collected and the following regression was estimated: In(Y) = 70.52 + 1.231n(X). Therefore, for the above regression, a 1% increase in the per capita GNP of the country is associated with in the life expectancy at birth by (Round your answer to two decimal places.)