A researcher is investigating the determinants of firm labour productivity using data for the year 2014 for a sample of manufacturing firms from the electronics industry. She uses the following model:

LP = b₀ + b₁ CAPIN - b₂ W + b₃ SIZE + b₄ RD

where:

LP is the firm's labour productivity (measured as turnover per employee, in 000s);

CAPIN is the firm's capital intensity (measured as total assets per employee, in 000s);

W is the firm's average wage per employee, in 000s;

SIZE is an indicator of the size of the firm (measured by the log of its turnover, in 000s);

RD is the firm's R&D intensity (measured as the firm's R&D expenditure divided by its turnover), an indicator of how innovative the firm is.

The results of the estimation are:

Variables	Coefficients	Standard Errors	t-values	p-values
CAPIN	0.364	0.014	25.990	0.000
W	1.333	0.428	3.110	0.002
SIZE	3.237	5.822	0.560	0.579
RD	-21.982	11.867	-1.850	0.066
Constant	19.039	61.513	0.310	0.757

Note: The researcher is using a 5% significance level.

Select the terms from the drop down lists to complete the sentences below correctly:

From the results of the estimation we can conclude that:

a) the variable CAPIN ( is or is not) associated with the firm's productivity because the magnitude of the p-value of the CAPIN variable is (higher/lower) than the significance level;

b) the variable RD (is not/is) associated with the firm's productivity because the p-value of the RD variable is (higher/lower) than the significance level.

chose between the two words in a and b