Making predictions using size and bedrooms

Say you want to predict the price of a house using this model and you know it has:

1000 square feet of living space, and
3 bedrooms

What is your prediction both in log10 dollars and then dollars?

The regression model from the previous exercise is available in your workspace as model_price_2.

get_regression_table(model_price_2)
# A tibble: 3 x 7
  term       estimate std_error statistic p_value lower_ci upper_ci
  <chr>         <dbl>     <dbl>     <dbl>   <dbl>    <dbl>    <dbl>
1 intercept     2.69      0.023     116.        0    2.65     2.74 
2 log10_size    0.941     0.008     118.        0    0.925    0.957
3 bedrooms     -0.033     0.002     -20.5       0   -0.036   -0.03

Using the fitted values of the intercept and slopes from the regression table on the left to predict this house's price in log10 dollars.